A. Dimou, V. Lovatsis, A. Papadakis, S. Pantelopoulos, P. Daras
Modern surveillance systems consist of multiple, geographically dispersed cameras, increasing the technical and scalability challenges for person re-identification. In this context, the use of geographical information to boost the effectiveness of a state-of-the-art re-identification algorithm has been implemented and evaluated, by leveraging the prediction of an event evolution. It is argued that the estimation of possible target trajectories can limit the footage search space and allow focused application of the re-identification algorithm. This is reflected in performance, effectiveness and scalability. The parametrization of the interesting footage reduction mechanism allows using different profiles and a flexible trade-off between performance and robustness. Our work is verified and evaluated in a well known benchmark dataset for re-identification and a real-world dataset created in the framework of the EU-project ADVISE.
{"title":"GIS-supported people tracking re-acquisition in a multi-camera environment","authors":"A. Dimou, V. Lovatsis, A. Papadakis, S. Pantelopoulos, P. Daras","doi":"10.5281/ZENODO.17342","DOIUrl":"https://doi.org/10.5281/ZENODO.17342","url":null,"abstract":"Modern surveillance systems consist of multiple, geographically dispersed cameras, increasing the technical and scalability challenges for person re-identification. In this context, the use of geographical information to boost the effectiveness of a state-of-the-art re-identification algorithm has been implemented and evaluated, by leveraging the prediction of an event evolution. It is argued that the estimation of possible target trajectories can limit the footage search space and allow focused application of the re-identification algorithm. This is reflected in performance, effectiveness and scalability. The parametrization of the interesting footage reduction mechanism allows using different profiles and a flexible trade-off between performance and robustness. Our work is verified and evaluated in a well known benchmark dataset for re-identification and a real-world dataset created in the framework of the EU-project ADVISE.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658254","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 : 2014-08-28DOI: 10.5220/0005012302410247
Aleksandar Colic, Oge Marques, B. Furht
This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver's face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.
{"title":"Design and implementation of a driver drowsiness detection system: A practical approach","authors":"Aleksandar Colic, Oge Marques, B. Furht","doi":"10.5220/0005012302410247","DOIUrl":"https://doi.org/10.5220/0005012302410247","url":null,"abstract":"This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver's face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126906436","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 : 2014-08-28DOI: 10.5220/0005126903460352
Juan Arraiza Irujo, Montse Cuadros, N. Aginako, Matteo Raffaelli, Olga Kähm, N. Damer, Joao P. Neto
Law Enforcement Agencies (LEAs) spend increasing efforts and resources on monitoring open sources, searching for suspicious behaviours and crime clues. The task of efficiently and effectively monitoring open sources is strongly linked to the capability of automatically retrieving and analyzing multimedia data. This paper presents a multimodal analytics system, created in cooperation with European LEAs. In particular it is described how the video analytics subsystem produces a workflow of multimedia data analysis processes. After a first analysis of video files, images are extracted in order to perform image comparison, classification and face recognition. In addition, audio content is extracted to perform speaker recognition and multilingual analysis of text transcripts. The integration of multimedia analysis results allows LEAs to extract pertinent knowledge from the gathered information.
{"title":"Multimedia analysis of video sources","authors":"Juan Arraiza Irujo, Montse Cuadros, N. Aginako, Matteo Raffaelli, Olga Kähm, N. Damer, Joao P. Neto","doi":"10.5220/0005126903460352","DOIUrl":"https://doi.org/10.5220/0005126903460352","url":null,"abstract":"Law Enforcement Agencies (LEAs) spend increasing efforts and resources on monitoring open sources, searching for suspicious behaviours and crime clues. The task of efficiently and effectively monitoring open sources is strongly linked to the capability of automatically retrieving and analyzing multimedia data. This paper presents a multimodal analytics system, created in cooperation with European LEAs. In particular it is described how the video analytics subsystem produces a workflow of multimedia data analysis processes. After a first analysis of video files, images are extracted in order to perform image comparison, classification and face recognition. In addition, audio content is extracted to perform speaker recognition and multilingual analysis of text transcripts. The integration of multimedia analysis results allows LEAs to extract pertinent knowledge from the gathered information.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"23 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011678","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 : 2014-08-28DOI: 10.5220/0005050402310238
Piotr Tojza, Dawid Gradolewski, G. Redlarski
Due to a significant rise in the number of patients diagnosed with diseases of the upper gastrointestinal tract and the high cost of treatment, there is a need to further research on one of the most popular diagnostic tests used in this case - esophageal Multichannel Intraluminal Impedance and pH measurement. This may lead to finding new diagnostically relevant information, used to quicken and improve the diagnostic procedure. The paper presents an algorithm used in a new computer application dedicated for researchers and physicians interested in research connected with Gastroesophageal impedance and pH data analysis. A possibility to modify a wide range of the algorithms parameters as well as rich set of the programs functions allows researchers to search for new criteria to assess the pH and impedance data when diagnosing diseases of the upper gastrointestinal tract. This, in turn, may lead to improving the time and accuracy of the MII-pH analysis which will substantially affect the patient's diagnosis time and treatment. Moreover, the diagnosing physician will be able to asses more tests, which is important, due to a significant rise in the number of patients seeking attention when speaking about the diseases of the upper gastrointestinal tract.
{"title":"An application supporting Gastroesophageal Multichannel Intraluminal Impedance-pH analysis","authors":"Piotr Tojza, Dawid Gradolewski, G. Redlarski","doi":"10.5220/0005050402310238","DOIUrl":"https://doi.org/10.5220/0005050402310238","url":null,"abstract":"Due to a significant rise in the number of patients diagnosed with diseases of the upper gastrointestinal tract and the high cost of treatment, there is a need to further research on one of the most popular diagnostic tests used in this case - esophageal Multichannel Intraluminal Impedance and pH measurement. This may lead to finding new diagnostically relevant information, used to quicken and improve the diagnostic procedure. The paper presents an algorithm used in a new computer application dedicated for researchers and physicians interested in research connected with Gastroesophageal impedance and pH data analysis. A possibility to modify a wide range of the algorithms parameters as well as rich set of the programs functions allows researchers to search for new criteria to assess the pH and impedance data when diagnosing diseases of the upper gastrointestinal tract. This, in turn, may lead to improving the time and accuracy of the MII-pH analysis which will substantially affect the patient's diagnosis time and treatment. Moreover, the diagnosing physician will be able to asses more tests, which is important, due to a significant rise in the number of patients seeking attention when speaking about the diseases of the upper gastrointestinal tract.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132593426","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 : 2014-08-28DOI: 10.5220/0005015801570164
M. Woźniak, Dawid Połap
In this paper, the idea of applying cuckoo search algorithm to search for key-points in 2D images is formulated. For a set of test images we present and verify simplified version, it's efficiency and precision. Research results are presented and discussed in comparison to classic methods like simplified SURF and SIFT algorithms to show potential efficiency of applied computational intelligence.
{"title":"Basic concept of Cuckoo Search Algorithm for 2D images processing with some research results: An idea to apply Cuckoo Search Algorithm in 2D images key-points search","authors":"M. Woźniak, Dawid Połap","doi":"10.5220/0005015801570164","DOIUrl":"https://doi.org/10.5220/0005015801570164","url":null,"abstract":"In this paper, the idea of applying cuckoo search algorithm to search for key-points in 2D images is formulated. For a set of test images we present and verify simplified version, it's efficiency and precision. Research results are presented and discussed in comparison to classic methods like simplified SURF and SIFT algorithms to show potential efficiency of applied computational intelligence.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126646114","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 : 2014-08-28DOI: 10.5220/0005091102970301
D. Salas-González, J. Górriz, J. Ramírez, E. Lang
The main goal and overall objective of this contribution is to attract the attention of the potentialities and wide range of applications of the α-stable distribution in biomedical applications, specifically in neuroimaging. The α-stable density is a heavy-tailed, non-symmetric distribution with similar desirable properties to the Gaussian. Indeed, the Gaussian distribution is a particular case of the α-stable family. The Gaussian distribution is used ubiquitously in brain image processing. For this reason, we believe that the α-stable density can be potentially used as an alternative to the Gaussian distribution in several biomedical applications regarding brain imaging. Some of the proposed applications of the α-stable distribution considered in this work are the development of brain image processing approaches with applications to intensity normalization of SPECT images, MRI segmentation and feature extraction for the diagnosis of Parkinsonian's syndrome.
{"title":"Why using the alpha-stable distribution in neuroimage?","authors":"D. Salas-González, J. Górriz, J. Ramírez, E. Lang","doi":"10.5220/0005091102970301","DOIUrl":"https://doi.org/10.5220/0005091102970301","url":null,"abstract":"The main goal and overall objective of this contribution is to attract the attention of the potentialities and wide range of applications of the α-stable distribution in biomedical applications, specifically in neuroimaging. The α-stable density is a heavy-tailed, non-symmetric distribution with similar desirable properties to the Gaussian. Indeed, the Gaussian distribution is a particular case of the α-stable family. The Gaussian distribution is used ubiquitously in brain image processing. For this reason, we believe that the α-stable density can be potentially used as an alternative to the Gaussian distribution in several biomedical applications regarding brain imaging. Some of the proposed applications of the α-stable distribution considered in this work are the development of brain image processing approaches with applications to intensity normalization of SPECT images, MRI segmentation and feature extraction for the diagnosis of Parkinsonian's syndrome.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121719003","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 : 2014-08-28DOI: 10.5220/0005043202690274
Shudai Ishikawa, R. Kubota, K. Horio
In this paper a new optimization technique which is effective for hierarchical optimization problem is proposed. This technique is an extension of the multiple-competitive distributed genetic algorithm (mcDGA). This method consists of two levels upper and lower. The solution space to be searched is determined at the upper level, and the optimum solution in a given solution space is determined at the lower level. The migration of the individual and competition is performed at the lower layer thereby optimal solution can be found efficiently. We apply the proposed hierarchical mcDGA to the mVRP to confirm the effectiveness. Simulation result shows the effectiveness of the proposed method.
{"title":"Hierarchical optimization using hierarchical multi-competitive genetic algorithm and its application to multiple Vehicle Routing Problem","authors":"Shudai Ishikawa, R. Kubota, K. Horio","doi":"10.5220/0005043202690274","DOIUrl":"https://doi.org/10.5220/0005043202690274","url":null,"abstract":"In this paper a new optimization technique which is effective for hierarchical optimization problem is proposed. This technique is an extension of the multiple-competitive distributed genetic algorithm (mcDGA). This method consists of two levels upper and lower. The solution space to be searched is determined at the upper level, and the optimum solution in a given solution space is determined at the lower level. The migration of the individual and competition is performed at the lower layer thereby optimal solution can be found efficiently. We apply the proposed hierarchical mcDGA to the mVRP to confirm the effectiveness. Simulation result shows the effectiveness of the proposed method.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131779597","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 : 2014-08-28DOI: 10.5220/0005057201070116
Patrik Goorts, S. Maesen, Yunjun Liu, Maarten Dumont, P. Bekaert, G. Lafruit
In this paper, we present a method to calibrate large scale camera networks for multi-camera computer vision applications in sport scenes. The calibration process determines precise camera parameters, both within each camera (focal length, principal point, etc) and in between the cameras (their relative position and orientation). To this end, we first extract candidate image correspondences over adjacent cameras, without using any calibration object, solely relying on existing feature matching computer vision algorithms applied on the input video streams. We then pairwise propagate these camera feature matches over all adjacent cameras using a chained, confident-based voting mechanism and a selection relying on the general displacement across the images. Experiments show that this removes a large amount of outliers before using existing calibration toolboxes dedicated to small scale camera networks, that would otherwise fail to work properly in finding the correct camera parameters over large scale camera networks. We successfully validate our method on real soccer scenes.
{"title":"Self-calibration of large scale camera networks","authors":"Patrik Goorts, S. Maesen, Yunjun Liu, Maarten Dumont, P. Bekaert, G. Lafruit","doi":"10.5220/0005057201070116","DOIUrl":"https://doi.org/10.5220/0005057201070116","url":null,"abstract":"In this paper, we present a method to calibrate large scale camera networks for multi-camera computer vision applications in sport scenes. The calibration process determines precise camera parameters, both within each camera (focal length, principal point, etc) and in between the cameras (their relative position and orientation). To this end, we first extract candidate image correspondences over adjacent cameras, without using any calibration object, solely relying on existing feature matching computer vision algorithms applied on the input video streams. We then pairwise propagate these camera feature matches over all adjacent cameras using a chained, confident-based voting mechanism and a selection relying on the general displacement across the images. Experiments show that this removes a large amount of outliers before using existing calibration toolboxes dedicated to small scale camera networks, that would otherwise fail to work properly in finding the correct camera parameters over large scale camera networks. We successfully validate our method on real soccer scenes.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115316785","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 : 2014-08-28DOI: 10.5220/0005014901490156
S. Gohshi
Resolution is one of the most important things when assessing image quality, and image quality improves in proportion to resolution. Super Resolution (SR) is a resolution improving technology that is different from conventional image enhancement methods. SR methods, of which there are many, typically have complex algorithms that involve iterations, and it is not easy to apply them to video running in real time at 50 or 60 frames a second; i.e., each frame would have to be processed in 20 ms (50 Hz) or 16.7 ms (60 Hz). In this paper, a simple form of SR that uses non-linear signal processing is proposed to cope with the difficulties in real-time processing. Real-time hardware equipped with an FPGA (Field Programmable Gate Array) for 4K and 8K video is shown and its SR capability is discussed.
{"title":"Real-time Super Resolution equipment for 8K video","authors":"S. Gohshi","doi":"10.5220/0005014901490156","DOIUrl":"https://doi.org/10.5220/0005014901490156","url":null,"abstract":"Resolution is one of the most important things when assessing image quality, and image quality improves in proportion to resolution. Super Resolution (SR) is a resolution improving technology that is different from conventional image enhancement methods. SR methods, of which there are many, typically have complex algorithms that involve iterations, and it is not easy to apply them to video running in real time at 50 or 60 frames a second; i.e., each frame would have to be processed in 20 ms (50 Hz) or 16.7 ms (60 Hz). In this paper, a simple form of SR that uses non-linear signal processing is proposed to cope with the difficulties in real-time processing. Real-time hardware equipped with an FPGA (Field Programmable Gate Array) for 4K and 8K video is shown and its SR capability is discussed.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124842472","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 : 2014-08-28DOI: 10.5220/0005065500050013
Yassine Himeur, A. Boukabou
In this paper, we propose a new impulse noise mitigation approach in Orthogonal Frequency Division Multiplexing (OFDM) signals over Powerline communication (PLC) channel. Recently LDPC-Convolutional Code (LDPC-CC) has received much interest as an alternative to LDPC codes for its advantages and low complexity. The proposed approach exploits the redundancy introduced by LDPC-CC and cyclic prefix (CP) added to the OFDM transmitter to recover noisy coefficients. It is based on the fusion of median and mean of their neighboring coefficients using a window and a dynamic threshold calculated on the basis of noise variance and the peak value of the noise in the received signal. Detection of noisy coefficients takes into consideration the neighboring coefficients. The proposed technique presents a good robustness to impulse noise performance without adding a big complexity to the transmission system. Promising results have been achieved by the proposed approach when compared to filtering and coding techniques alone.
{"title":"Noise mitigation over Powerline communication using LDPC-Convolutional Code and fusion of mean and median filters","authors":"Yassine Himeur, A. Boukabou","doi":"10.5220/0005065500050013","DOIUrl":"https://doi.org/10.5220/0005065500050013","url":null,"abstract":"In this paper, we propose a new impulse noise mitigation approach in Orthogonal Frequency Division Multiplexing (OFDM) signals over Powerline communication (PLC) channel. Recently LDPC-Convolutional Code (LDPC-CC) has received much interest as an alternative to LDPC codes for its advantages and low complexity. The proposed approach exploits the redundancy introduced by LDPC-CC and cyclic prefix (CP) added to the OFDM transmitter to recover noisy coefficients. It is based on the fusion of median and mean of their neighboring coefficients using a window and a dynamic threshold calculated on the basis of noise variance and the peak value of the noise in the received signal. Detection of noisy coefficients takes into consideration the neighboring coefficients. The proposed technique presents a good robustness to impulse noise performance without adding a big complexity to the transmission system. Promising results have been achieved by the proposed approach when compared to filtering and coding techniques alone.","PeriodicalId":438702,"journal":{"name":"2014 International Conference on Signal Processing and Multimedia Applications (SIGMAP)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114616529","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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