Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447648
R. Vicen-Bueno, A. Martinez-Leira, R. Gil-Pita, M. Rosa-Zurera
The speech signal corrupted by the acoustic feedback in digital hearing aids can be restored by a feedback reduction system using adaptive algorithms such as the least-mean square (LMS) algorithm. The main disadvantage of the LMS algorithm is the instability. In order to avoid this situation, it is used another feedback reduction systems based on two different algorithms: the filtered-X LMS (FXLMS) and the normalized filtered-X LMS (NFXLMS). These algorithms are tested in two digital hearing aid categories: the in-the-ear (ITE) and the in-the-canal (ITC). For both categories, the added stable gain (ASG) value over the limit gain of the digital hearing aids is obtained. The ASG value is achieved as a tradeoff between the segmented signal-to-noise ratio (objective parameter) and the speech quality (subjective parameter). The results show how the digital hearing aid working with a feedback reduction adaptive filter adapted with the NFXLMS algorithm is able to achieve up to 18 dB of increase over the limit gain.
在数字式助听器中，被声反馈破坏的语音信号可以通过采用自适应算法如最小均方(LMS)算法的反馈还原系统来恢复。LMS算法的主要缺点是不稳定性。为了避免这种情况，使用了另一种基于两种不同算法的反馈约简系统:滤波- x LMS (FXLMS)和归一化滤波- x LMS (NFXLMS)。这些算法在两种数字助听器类别中进行了测试:入耳式(ITE)和耳道式(ITC)。对于这两个类别，都获得了超过数字助听器极限增益的附加稳定增益(ASG)值。ASG值是在分割的信噪比(客观参数)和语音质量(主观参数)之间进行权衡得到的。结果表明，采用NFXLMS算法的反馈减小自适应滤波器的数字助听器能够在极限增益上实现高达18 dB的增长。
{"title":"Acoustic feedback reduction based on Filtered-X LMS and Normalized Filtered-X LMS algorithms in digital hearing aids based on WOLA filterbank","authors":"R. Vicen-Bueno, A. Martinez-Leira, R. Gil-Pita, M. Rosa-Zurera","doi":"10.1109/WISP.2007.4447648","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447648","url":null,"abstract":"The speech signal corrupted by the acoustic feedback in digital hearing aids can be restored by a feedback reduction system using adaptive algorithms such as the least-mean square (LMS) algorithm. The main disadvantage of the LMS algorithm is the instability. In order to avoid this situation, it is used another feedback reduction systems based on two different algorithms: the filtered-X LMS (FXLMS) and the normalized filtered-X LMS (NFXLMS). These algorithms are tested in two digital hearing aid categories: the in-the-ear (ITE) and the in-the-canal (ITC). For both categories, the added stable gain (ASG) value over the limit gain of the digital hearing aids is obtained. The ASG value is achieved as a tradeoff between the segmented signal-to-noise ratio (objective parameter) and the speech quality (subjective parameter). The results show how the digital hearing aid working with a feedback reduction adaptive filter adapted with the NFXLMS algorithm is able to achieve up to 18 dB of increase over the limit gain.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122320885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447565
Aikaterini D. Koutsou, Fernando Seco, Antonio R. Jiḿenez, J. Roa, J. Ealo, C. Prieto, Jorge Guevara
This paper reports preliminary work with an RFID based local positioning system (LPS) designed for location and guidance of people and autonomous vehicles in indoor environments. The system consists of an RF reader carried by the mobile user, and a number of active RFID tags, disseminated at known positions in the displacement region, which regularly emit RF signals with an identification code. Upon reception of a signal, the range of the user to the corresponding tag is estimated indirectly from the received signal strength (RSSI), using a previously obtained statistical model. A computationally efficient Bayesian localization method (particle filter) is used to process the measurements and produce an estimation of the user's position. The RFID-LPS is tested empirically in a displacement region comprised of three adjacent rooms, with a total area of 250 m2, in which there are placed 21 tags. Our first results show a typical mean positioning error of 3.25 m, which compares favorably with other systems reported in the literature.
{"title":"Preliminary Localization Results With An RFID Based Indoor Guiding System","authors":"Aikaterini D. Koutsou, Fernando Seco, Antonio R. Jiḿenez, J. Roa, J. Ealo, C. Prieto, Jorge Guevara","doi":"10.1109/WISP.2007.4447565","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447565","url":null,"abstract":"This paper reports preliminary work with an RFID based local positioning system (LPS) designed for location and guidance of people and autonomous vehicles in indoor environments. The system consists of an RF reader carried by the mobile user, and a number of active RFID tags, disseminated at known positions in the displacement region, which regularly emit RF signals with an identification code. Upon reception of a signal, the range of the user to the corresponding tag is estimated indirectly from the received signal strength (RSSI), using a previously obtained statistical model. A computationally efficient Bayesian localization method (particle filter) is used to process the measurements and produce an estimation of the user's position. The RFID-LPS is tested empirically in a displacement region comprised of three adjacent rooms, with a total area of 250 m2, in which there are placed 21 tags. Our first results show a typical mean positioning error of 3.25 m, which compares favorably with other systems reported in the literature.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130680835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447554
I. Arambasic, F. Quiros, I. Raos
In order to achieve higher bit rates and gain diversity, recent trends in communication industry include the use of multiple antennas in transmitter and at the receiver. At the same time the terminals are getting smaller incrementing the level of electronic interferences in their interior. In this contribution, the signal distortion known as RF front-end antenna coupling is analyzed. The coupling between antennas is modeled with polynomials limited to third order nonlinear behavior. Nonlinear software decoupling module, located at the output of analog-to-digital (AD) converter, is proposed for coupling cancellation. Inside the module, signal enhancement is achieved with the approximation of inverse nonlinear coupling function with the polynomial of 9th degree. The inverse function is obtained using guided multilevel search approximation method. The proposed coupling cancellation algorithm is analyzed under different system conditions showing excellent coupling cancellation characteristics.
{"title":"Receiver's Multi-Antenna Coupling Cancellation Based on Guided Multi-level Search","authors":"I. Arambasic, F. Quiros, I. Raos","doi":"10.1109/WISP.2007.4447554","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447554","url":null,"abstract":"In order to achieve higher bit rates and gain diversity, recent trends in communication industry include the use of multiple antennas in transmitter and at the receiver. At the same time the terminals are getting smaller incrementing the level of electronic interferences in their interior. In this contribution, the signal distortion known as RF front-end antenna coupling is analyzed. The coupling between antennas is modeled with polynomials limited to third order nonlinear behavior. Nonlinear software decoupling module, located at the output of analog-to-digital (AD) converter, is proposed for coupling cancellation. Inside the module, signal enhancement is achieved with the approximation of inverse nonlinear coupling function with the polynomial of 9th degree. The inverse function is obtained using guided multilevel search approximation method. The proposed coupling cancellation algorithm is analyzed under different system conditions showing excellent coupling cancellation characteristics.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116570405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447567
I. López, R. Sanz, F. Moreno, R. Salvador, J. Alarcón
This paper describes an experiment to implement a high-level, cognitive architecture on limited resources, namely, an altera cyclone/cyclone-II FPGA. It is part of a broader line of research investigating methods of scaling high-level, cognitive or "intelligent" architectures into limited resources, for building embedded systems. An artificial vision system for traffic signal detection has been implemented with neural networks, according to the principles of a BB1/AIS blackboard architecture. Different scaling techniques and reductions have been carried out for embedding the system into an FPGA. The paper offers a description of the architectural design and hardware implementation results. A discussion of modularity, possible enhancements and tradeoffs is carried out throughout the paper.
本文描述了在有限资源上实现高级认知架构的实验，即altera cyclone/cyclone- ii FPGA。这是一个更广泛的研究领域的一部分，研究如何将高级、认知或“智能”架构扩展到有限的资源中，以构建嵌入式系统。根据BB1/AIS黑板结构的原理，利用神经网络实现了交通信号检测的人工视觉系统。为了将系统嵌入到FPGA中，采用了不同的缩放技术和减小方法。文中给出了系统的结构设计和硬件实现结果。本文对模块化、可能的增强和权衡进行了讨论。
{"title":"From Cognitive Architectures to Hardware: A Low Cost FPGA-Based Design Experience","authors":"I. López, R. Sanz, F. Moreno, R. Salvador, J. Alarcón","doi":"10.1109/WISP.2007.4447567","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447567","url":null,"abstract":"This paper describes an experiment to implement a high-level, cognitive architecture on limited resources, namely, an altera cyclone/cyclone-II FPGA. It is part of a broader line of research investigating methods of scaling high-level, cognitive or \"intelligent\" architectures into limited resources, for building embedded systems. An artificial vision system for traffic signal detection has been implemented with neural networks, according to the principles of a BB1/AIS blackboard architecture. Different scaling techniques and reductions have been carried out for embedding the system into an FPGA. The paper offers a description of the architectural design and hardware implementation results. A discussion of modularity, possible enhancements and tradeoffs is carried out throughout the paper.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116611055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447592
S. Villazana, C. Seijas, A. Caralli, C. Villanueva, F. Arteaga
This paper makes a comparison between the performance of a classical model reference adaptive system (MRAS)-based observer to estimate the rotor resistance of the SCIM and the performance of a support vector machines (SVM)-based MRAS observer to estimate that parameter. The most important parameter of the squirrel cage induction motor to be considered in indirect vector control is the rotor resistance; because of this parameter has a strong influence in the performance of the drive. It is well known, if there is a mismatching between rotor resistance of the machine (varying with temperature, saturation, skin effect) and its corresponding one in the controller (fixed), the latter cannot determine the correct position of the synchronous d-q axes and the consequence is the lost of the field orientation. The complete drive system including a time-varying rotor resistance model for the SCIM was simulated. Results showed the performance of the SVM-based estimator was better than performance of the classical MRAS-based estimator for the same operation conditions of the drive system. This work showed the powerful of the SVM used as regressor to estimate an unknown and inaccessible rotor resistance parameter of the SCIM, which demonstrated this new artificial intelligent branch has a promissory future to solve many different problems in engineering field applications.
{"title":"SVM-based and Classical MRAS for On-line Rotor Resistance Estimation: A Comparative Study","authors":"S. Villazana, C. Seijas, A. Caralli, C. Villanueva, F. Arteaga","doi":"10.1109/WISP.2007.4447592","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447592","url":null,"abstract":"This paper makes a comparison between the performance of a classical model reference adaptive system (MRAS)-based observer to estimate the rotor resistance of the SCIM and the performance of a support vector machines (SVM)-based MRAS observer to estimate that parameter. The most important parameter of the squirrel cage induction motor to be considered in indirect vector control is the rotor resistance; because of this parameter has a strong influence in the performance of the drive. It is well known, if there is a mismatching between rotor resistance of the machine (varying with temperature, saturation, skin effect) and its corresponding one in the controller (fixed), the latter cannot determine the correct position of the synchronous d-q axes and the consequence is the lost of the field orientation. The complete drive system including a time-varying rotor resistance model for the SCIM was simulated. Results showed the performance of the SVM-based estimator was better than performance of the classical MRAS-based estimator for the same operation conditions of the drive system. This work showed the powerful of the SVM used as regressor to estimate an unknown and inaccessible rotor resistance parameter of the SCIM, which demonstrated this new artificial intelligent branch has a promissory future to solve many different problems in engineering field applications.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132240122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447539
L. Moreno, M. L. Muoz, S. Garrido, F. Martín
Mobile robot global localization aims to determine the robot's pose in a known environment in absence of initial robot's pose information. This article presents an evolutive localization algorithm known as Evolutive Localization filter (ELF). Based on evolutionary computation concepts, the proposed algorithm search stochastically along the state space the best robot's pose estimate. The set of pose solutions (the population) represents the most likely areas according the perception and motion information received. The population evolves by using the observation and motion errors derived from the comparison between observed and predicted data obtained from the probabilistic perception and motion model. The resulting global localization module has been tested in a mobile robot equipped with a laser range finder. Experiments demonstrate the effectiveness, robustness and computational efficiency of the proposed approach.
{"title":"Evolutionary Filter for Mobile Robot Global Localization","authors":"L. Moreno, M. L. Muoz, S. Garrido, F. Martín","doi":"10.1109/WISP.2007.4447539","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447539","url":null,"abstract":"Mobile robot global localization aims to determine the robot's pose in a known environment in absence of initial robot's pose information. This article presents an evolutive localization algorithm known as Evolutive Localization filter (ELF). Based on evolutionary computation concepts, the proposed algorithm search stochastically along the state space the best robot's pose estimate. The set of pose solutions (the population) represents the most likely areas according the perception and motion information received. The population evolves by using the observation and motion errors derived from the comparison between observed and predicted data obtained from the probabilistic perception and motion model. The resulting global localization module has been tested in a mobile robot equipped with a laser range finder. Experiments demonstrate the effectiveness, robustness and computational efficiency of the proposed approach.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134147314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447585
B. Karimi, M. B. Menhaj, A. Afshar, I. Saboori
This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear system is chosen as a case study. Simulation results are very promising.
{"title":"A Decentralized Direct Adaptive Controller for a Class of Large-Scale Interconnected Nonlinear Systems","authors":"B. Karimi, M. B. Menhaj, A. Afshar, I. Saboori","doi":"10.1109/WISP.2007.4447585","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447585","url":null,"abstract":"This paper presents a decentralized adaptive controller for a class of large-scale nonlinear systems with unknown subsystems. A direct adaptive controller is devised based on Lyapunov stability analysis so that the stability of the closed loop system is guaranteed by introducing a suitably driven adaptive rule. To show the effectiveness of the proposed decentralized adaptive controller, a nonlinear system is chosen as a case study. Simulation results are very promising.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"347 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134033073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447608
G. Reis, N. Fonseca, F. Ferndandez
Automatic music transcription (extracting musical notes from a polyphonic audio stream) is a very complex task that continues waiting for solutions, due to the harmonic complexity of musical sounds. Traditional approaches try to extract the information directly from the audio stream, but by taking into account that a polyphonic audio stream is no more than a combination of several notes, music transcription can be considered as a search problem where the goal is to find the sequence of the notes that best models our audio signal. By taking advantage of the genetic algorithms to explore a large search space we present a new approach to the music transcription problem. The results obtained show the feasibility of the approach.
{"title":"Genetic Algorithm Approach to Polyphonic Music Transcription","authors":"G. Reis, N. Fonseca, F. Ferndandez","doi":"10.1109/WISP.2007.4447608","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447608","url":null,"abstract":"Automatic music transcription (extracting musical notes from a polyphonic audio stream) is a very complex task that continues waiting for solutions, due to the harmonic complexity of musical sounds. Traditional approaches try to extract the information directly from the audio stream, but by taking into account that a polyphonic audio stream is no more than a combination of several notes, music transcription can be considered as a search problem where the goal is to find the sequence of the notes that best models our audio signal. By taking advantage of the genetic algorithms to explore a large search space we present a new approach to the music transcription problem. The results obtained show the feasibility of the approach.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134519953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447523
J. Diaz, M. Abderrahim
This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.
{"title":"Modified SoftPOSIT algorithm for 3D visual tracking","authors":"J. Diaz, M. Abderrahim","doi":"10.1109/WISP.2007.4447523","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447523","url":null,"abstract":"This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"240 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133095495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447614
J. Badri, C. Tilmant, J. Lavest, P. Sayd
Video surveillance becomes more and more extended in industry and often involves automatic calibration system to remain efficient. In this paper, a video-surveillance system that uses stationary-dynamic cameras devices is presented. The static camera is used to monitor the largest scene but with a small resolution : master-slave system. When it detects a moving object, the Pan-Tilt-Zoom (PTZ) camera is controlled to be centered on this object with a high resolution. We use a method of camera-to-camera calibration, integrating zoom calibration in order to command the angles and the zoom of the PTZ camera. This method enables to take into account the intrinsic camera parameters, the 3D scene geometry and the fact that the mechanism of inexpensive camera does not fit the classical geometrical model. Finally, the results of precision and accuracy of this algorithm are highlighted on real cases to qualify subjectively the value of theses errors for more complex surveillance applications like pattern recognition or tracking.
{"title":"Hybrid sensors calibration: Application to pattern recognition and tracking","authors":"J. Badri, C. Tilmant, J. Lavest, P. Sayd","doi":"10.1109/WISP.2007.4447614","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447614","url":null,"abstract":"Video surveillance becomes more and more extended in industry and often involves automatic calibration system to remain efficient. In this paper, a video-surveillance system that uses stationary-dynamic cameras devices is presented. The static camera is used to monitor the largest scene but with a small resolution : master-slave system. When it detects a moving object, the Pan-Tilt-Zoom (PTZ) camera is controlled to be centered on this object with a high resolution. We use a method of camera-to-camera calibration, integrating zoom calibration in order to command the angles and the zoom of the PTZ camera. This method enables to take into account the intrinsic camera parameters, the 3D scene geometry and the fact that the mechanism of inexpensive camera does not fit the classical geometrical model. Finally, the results of precision and accuracy of this algorithm are highlighted on real cases to qualify subjectively the value of theses errors for more complex surveillance applications like pattern recognition or tracking.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122545380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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