Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5655728
Junzhi Guan, Zong-Yi Wang, Xiaochen Yao
Road centerlines detection and the estimation of road widths play an important role in many computer vision applications e.g. road network extraction from satellite images. Canny edge detector has many advantages over other first-order edge detection algorithm. For example, the edge of the line can make the connection degree well, the bandwidth can refine into only one pixel wide. But it can not extract the centerline. The Hough transform is a method for finding lines. In this paper, firstly, Canny transform is used to detect the edge of a line, then two parallel lines are extracted from the edges through progressive probabilistic Hough transform(PPHT). At last the parameter of the road centerline and its width is computed by the proposed new searching scheme. Intensive experiments have shown that the proposed methodology is effective in finding the road centerline and estimating the road width.
{"title":"A new approach for road centerlines extraction and width estimation","authors":"Junzhi Guan, Zong-Yi Wang, Xiaochen Yao","doi":"10.1109/ICOSP.2010.5655728","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655728","url":null,"abstract":"Road centerlines detection and the estimation of road widths play an important role in many computer vision applications e.g. road network extraction from satellite images. Canny edge detector has many advantages over other first-order edge detection algorithm. For example, the edge of the line can make the connection degree well, the bandwidth can refine into only one pixel wide. But it can not extract the centerline. The Hough transform is a method for finding lines. In this paper, firstly, Canny transform is used to detect the edge of a line, then two parallel lines are extracted from the edges through progressive probabilistic Hough transform(PPHT). At last the parameter of the road centerline and its width is computed by the proposed new searching scheme. Intensive experiments have shown that the proposed methodology is effective in finding the road centerline and estimating the road width.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115140899","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5656649
Avik Santra, K. Hari
The problem of estimating multiple Carrier Frequency Offsets (CFOs) in the uplink of MIMO-OFDM systems with Co-Channel (CC) and OFDMA based carrier allocation is considered. The tri-linear data model for generalized, multiuser OFDM system is formulated. Novel blind subspace based estimation of multiple CFOs in the case of arbitrary carrier allocation scheme in OFDMA systems and CC users in OFDM systems based on the Khatri-Rao product is proposed. The method works where the conventional subspace method fails. The performance of the proposed methods is compared with pilot based Least-Squares method.
{"title":"Novel subspace methods for blind estimation of multiple CFOs in MIMO-OFDM systems","authors":"Avik Santra, K. Hari","doi":"10.1109/ICOSP.2010.5656649","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656649","url":null,"abstract":"The problem of estimating multiple Carrier Frequency Offsets (CFOs) in the uplink of MIMO-OFDM systems with Co-Channel (CC) and OFDMA based carrier allocation is considered. The tri-linear data model for generalized, multiuser OFDM system is formulated. Novel blind subspace based estimation of multiple CFOs in the case of arbitrary carrier allocation scheme in OFDMA systems and CC users in OFDM systems based on the Khatri-Rao product is proposed. The method works where the conventional subspace method fails. The performance of the proposed methods is compared with pilot based Least-Squares method.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467015","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5655374
Li Wei, Qiu Hong, Huang Yue, Chen Xi
The paper presents a foot pressure measuring system connected with EEG It can quantify the relationship between human gait cycle and EEG signals. Understanding the relationship will help in the prevention of potential motor dysfunction disease and the development of rehabilitation tools. The whole system is composed of three parts: EEG signal acquisition, foot landing signal acquisition and the synchronization of these two signals. EEG signal can be acquired by Neuroscan EEG system. The plantar pressure measuring system (PPMS) is designed in details. With PVDF piezoelectric film sensor insole, PPMS could measure the plantar pressure precisely, and send a TTL signal as a mark to EEG system synchronously with EEG signal when the foot contacts the ground at beginning of each gait cycle. The experiment results shows that EEG signals are in line with human gait cycle on dynamic response. From that, some potential diseases can be predict, such as dyskinesia, peripheral neuropathy, neurological disorder, musculoskeletal disease and so on. It can also be used to monitor improvements in rehabilitation.
{"title":"The research in a plantar pressure measuring system connected with EEG","authors":"Li Wei, Qiu Hong, Huang Yue, Chen Xi","doi":"10.1109/ICOSP.2010.5655374","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655374","url":null,"abstract":"The paper presents a foot pressure measuring system connected with EEG It can quantify the relationship between human gait cycle and EEG signals. Understanding the relationship will help in the prevention of potential motor dysfunction disease and the development of rehabilitation tools. The whole system is composed of three parts: EEG signal acquisition, foot landing signal acquisition and the synchronization of these two signals. EEG signal can be acquired by Neuroscan EEG system. The plantar pressure measuring system (PPMS) is designed in details. With PVDF piezoelectric film sensor insole, PPMS could measure the plantar pressure precisely, and send a TTL signal as a mark to EEG system synchronously with EEG signal when the foot contacts the ground at beginning of each gait cycle. The experiment results shows that EEG signals are in line with human gait cycle on dynamic response. From that, some potential diseases can be predict, such as dyskinesia, peripheral neuropathy, neurological disorder, musculoskeletal disease and so on. It can also be used to monitor improvements in rehabilitation.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115642849","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5655157
Liu Yueping, Jiang Qiuxi, Guo Hangxing
Network Radar realizes the integration of the radar and radar countermeasures; it is a new trend of radar and radar countermeasures system. At first, it introduces the concept and some research results of the configuration of Network Radar. In succession, the CE (cross entropy) theory is utilized to evaluate the detection performance of Network Radar. We investigate the CE and put forward the concept of SCE (symmetry cross entropy) to compensate its inability to meet symmetry, and then prove in theory that it is a distance measure; thus the new evaluation model comes into existence which adopts the SCE as an evaluation criterion. By means of the simulations of the detection performance and configuration of Network Radar, The results prove that the method we have proposed is effective and feasible.
{"title":"Detection performance and configuration of Network Radar: A study based upon symmetry cross entropy","authors":"Liu Yueping, Jiang Qiuxi, Guo Hangxing","doi":"10.1109/ICOSP.2010.5655157","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655157","url":null,"abstract":"Network Radar realizes the integration of the radar and radar countermeasures; it is a new trend of radar and radar countermeasures system. At first, it introduces the concept and some research results of the configuration of Network Radar. In succession, the CE (cross entropy) theory is utilized to evaluate the detection performance of Network Radar. We investigate the CE and put forward the concept of SCE (symmetry cross entropy) to compensate its inability to meet symmetry, and then prove in theory that it is a distance measure; thus the new evaluation model comes into existence which adopts the SCE as an evaluation criterion. By means of the simulations of the detection performance and configuration of Network Radar, The results prove that the method we have proposed is effective and feasible.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115678761","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5655891
Kim Gao, Yan F. Zhang, Ying-hui Liu, Xiao-mei Chen, G. Ni
During spatial remote sensing imaging procedure, combined degradation factors conduce to Gaussian image blurring. The precondition of restoring the degraded image is to estimate point spread function (PSF) of the imaging system as precisely as possible. Because the depredating processes are quite complex, the transfer function of the degraded system is often completely or partly unknown, which makes it quite difficult to identify the precise PSF. Considering the similarity between the quantum process and imaging process in the probability and statistics fields, a novel algorithm is proposed by using multilayer feed-forward back-propagation quantum neural network (QBPNN) to estimate PSF of the Gaussian degraded imaging system. Different from the classical artificial neural network (ANN), 2 adjustable parameters of weight connection coefficient and phase coefficient are introduced in its quantum neurons used in learning stage. By establishing different training sets, this estimation method can overcome the limitation in the dependence on initial values and large amount of computation. Test results show that this method can achieve higher precision, faster convergence and stronger generalization ability comparing with the traditional PSF estimation results.
{"title":"PSF estimation for Gaussian image blur using back-propagation quantum neural network","authors":"Kim Gao, Yan F. Zhang, Ying-hui Liu, Xiao-mei Chen, G. Ni","doi":"10.1109/ICOSP.2010.5655891","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655891","url":null,"abstract":"During spatial remote sensing imaging procedure, combined degradation factors conduce to Gaussian image blurring. The precondition of restoring the degraded image is to estimate point spread function (PSF) of the imaging system as precisely as possible. Because the depredating processes are quite complex, the transfer function of the degraded system is often completely or partly unknown, which makes it quite difficult to identify the precise PSF. Considering the similarity between the quantum process and imaging process in the probability and statistics fields, a novel algorithm is proposed by using multilayer feed-forward back-propagation quantum neural network (QBPNN) to estimate PSF of the Gaussian degraded imaging system. Different from the classical artificial neural network (ANN), 2 adjustable parameters of weight connection coefficient and phase coefficient are introduced in its quantum neurons used in learning stage. By establishing different training sets, this estimation method can overcome the limitation in the dependence on initial values and large amount of computation. Test results show that this method can achieve higher precision, faster convergence and stronger generalization ability comparing with the traditional PSF estimation results.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116806623","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5655147
Ge Xian-jun, He You, Song Jie
In this paper, the basic geometrical relationship and signal energy relationship of non-cooperative bistatic radar are introduced, and the method using the cross-correlation to obtain the time difference of direct signals and target scattering echoes in noisy environment is discussed. Some experiments have been done to simulate the process of cross-correlation detection and time difference estimation. What's more, on the basis of them, some parameters affecting the performance of the algorithm, such as the signal-noise ratio, pulse width and pulse number of cross-correlation, are analyzed by Monte Carlo simulation.
{"title":"Cross-correlation detection and time difference estimation in non-cooperative bistatic radar systems","authors":"Ge Xian-jun, He You, Song Jie","doi":"10.1109/ICOSP.2010.5655147","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655147","url":null,"abstract":"In this paper, the basic geometrical relationship and signal energy relationship of non-cooperative bistatic radar are introduced, and the method using the cross-correlation to obtain the time difference of direct signals and target scattering echoes in noisy environment is discussed. Some experiments have been done to simulate the process of cross-correlation detection and time difference estimation. What's more, on the basis of them, some parameters affecting the performance of the algorithm, such as the signal-noise ratio, pulse width and pulse number of cross-correlation, are analyzed by Monte Carlo simulation.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121019442","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5656888
Jianjun Yin, Jian Qiu Zhang
We present a new multi-target filtering recursion for nonlinear models, termed as the central difference multi-target multi-Bernoulli (CD-MeMBer) filter. Provided that the state and measurement noises are Gaussian, Sterling's polynomial interpolation formula is used in deriving the filter under the assumption that the initial prior multi-Bernoulli multi-target density is given and each probability density is comprised of a Gaussian sum. The tracking performances verify the effectiveness of the proposed CD-MeMBer filter.
{"title":"The nonlinear multi-target multi-bernoulli filter using polynomial interpolation","authors":"Jianjun Yin, Jian Qiu Zhang","doi":"10.1109/ICOSP.2010.5656888","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656888","url":null,"abstract":"We present a new multi-target filtering recursion for nonlinear models, termed as the central difference multi-target multi-Bernoulli (CD-MeMBer) filter. Provided that the state and measurement noises are Gaussian, Sterling's polynomial interpolation formula is used in deriving the filter under the assumption that the initial prior multi-Bernoulli multi-target density is given and each probability density is comprised of a Gaussian sum. The tracking performances verify the effectiveness of the proposed CD-MeMBer filter.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121272452","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5655881
Liyan Ma, Jian Yu
In this paper, we propose an unconstrained active contour model combining edge and region information for image segmentation. The new method achieves the segmentation by filternating the regularization term and the data-fidelity term. We use a morphological approach to the regularization term which is the most time-consuming in the energy function. The proposed method is robust to noise and avoids re-initialization. The efficiency of our method is validated by testing it on various images.
{"title":"An unconstrained hybrid active contour model for image segmentation","authors":"Liyan Ma, Jian Yu","doi":"10.1109/ICOSP.2010.5655881","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655881","url":null,"abstract":"In this paper, we propose an unconstrained active contour model combining edge and region information for image segmentation. The new method achieves the segmentation by filternating the regularization term and the data-fidelity term. We use a morphological approach to the regularization term which is the most time-consuming in the energy function. The proposed method is robust to noise and avoids re-initialization. The efficiency of our method is validated by testing it on various images.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127516167","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5656651
Ting Tian, Sheng-sheng Yu, Hongxing Guo
Video decoding complexity prediction plays an important role in energy efficient applications, such as dynamic voltage scaling and workload reshaping. This paper presents a novel linear model for MPEG-4 intra frame decoding complexity prediction. Detailed experiments are conducted to exploit the statistical relationship between frame length and decoding complexity for various video contents under different bitrates. The experiments show that decoding complexity is linear related to frame length, the parameters of linear model vary slightly in terms of video sequences and bitrates, and the model parameters for different size video are proportional to the ratio of video size. Based on above principles, the linear model for CIF format video are fitted offline and utilized to predict both CIF and 4CIF format video sequences' intra frame decoding complexity on the fly. The probability density function of prediction error appeared normal distributed and the average prediction error is 0.47%. The maximal prediction error is 2.94% and the runtime overload of the proposed method is 54 cycles/frame on TI TMS320DM642 platform.
{"title":"Linear modeling for MPEG-4 intra frame decoding complexity prediction based on statistical analysis","authors":"Ting Tian, Sheng-sheng Yu, Hongxing Guo","doi":"10.1109/ICOSP.2010.5656651","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656651","url":null,"abstract":"Video decoding complexity prediction plays an important role in energy efficient applications, such as dynamic voltage scaling and workload reshaping. This paper presents a novel linear model for MPEG-4 intra frame decoding complexity prediction. Detailed experiments are conducted to exploit the statistical relationship between frame length and decoding complexity for various video contents under different bitrates. The experiments show that decoding complexity is linear related to frame length, the parameters of linear model vary slightly in terms of video sequences and bitrates, and the model parameters for different size video are proportional to the ratio of video size. Based on above principles, the linear model for CIF format video are fitted offline and utilized to predict both CIF and 4CIF format video sequences' intra frame decoding complexity on the fly. The probability density function of prediction error appeared normal distributed and the average prediction error is 0.47%. The maximal prediction error is 2.94% and the runtime overload of the proposed method is 54 cycles/frame on TI TMS320DM642 platform.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124976124","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 : 2010-12-03DOI: 10.1109/ICOSP.2010.5655012
Liu Huideng, Qiu Arui
A multi-channel duct active noise control(ANC) system is investigated in this paper with both theoretical and experimental studies. An optimized method to minimize the total sound power in a duct is proposed to determine the positions of secondary speakers and error sensors. The validity of theoretical calculation results is proved on a practical duct platform, and the experimental results indicate that remarkable improvements can be achieved on both noise reduction and system stability with the multiple secondary speakers rather than a single secondary speaker.
{"title":"Improvement on performance and stability with multiple secondary speakers in duct ANC system","authors":"Liu Huideng, Qiu Arui","doi":"10.1109/ICOSP.2010.5655012","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655012","url":null,"abstract":"A multi-channel duct active noise control(ANC) system is investigated in this paper with both theoretical and experimental studies. An optimized method to minimize the total sound power in a duct is proposed to determine the positions of secondary speakers and error sensors. The validity of theoretical calculation results is proved on a practical duct platform, and the experimental results indicate that remarkable improvements can be achieved on both noise reduction and system stability with the multiple secondary speakers rather than a single secondary speaker.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126178577","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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