发布求助
文献互助 智能选刊 最新文献

2006 IEEE International Conference on Video and Signal Based Surveillance最新文献

筛选
英文 中文
Combined 2D/3D Face Recognition Using Log-Gabor Templates 结合使用Log-Gabor模板的2D/3D人脸识别
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.35
Jamie Cook, C. McCool, V. Chandran, S. Sridharan
{"title":"Combined 2D/3D Face Recognition Using Log-Gabor Templates","authors":"Jamie Cook, C. McCool, V. Chandran, S. Sridharan","doi":"10.1109/AVSS.2006.35","DOIUrl":"https://doi.org/10.1109/AVSS.2006.35","url":null,"abstract":"The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this paper a new method combining intensity and range images and providing insensitivity to expression variation based on Log-Gabor Templates is presented. By breaking a single image into 75 semi-independent observations the reliance of the algorithm upon any particular part of the face is relaxed allowing robustness in the presence of occulusions, distortions and facial expressions. Also presented is a new distance measure based on the Mahalanobis Cosine metric which has desirable discriminatory characteristics in both the 2D and 3D domains. Using the 3D database collected by University of Notre Dame for the Face Recognition Grand Challenge (FRGC), benchmarking results are presented demonstrating the performance of the proposed methods.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123784641","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}
引用次数: 56
Multimedia Surveillance and Monitoring 多媒体监控与监控
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.79
M. Kankanhalli
{"title":"Multimedia Surveillance and Monitoring","authors":"M. Kankanhalli","doi":"10.1109/AVSS.2006.79","DOIUrl":"https://doi.org/10.1109/AVSS.2006.79","url":null,"abstract":"In spite of the development of various media sensors, multimedia (and computer vision) researchers have mostly adopted a video-centric approach to solve the automated surveillance and monitoring related problems. We look at the monitoring/surveillance problem from an information-centric perspective and advocate the use of diverse sources of information which enables the use of multiple correlated media. We advocate a design methodology for building systems which can explicitly take performance into account. We then propose that the surveillance problem can be better posed as an \"information-search\" problem in which the user can query for the information of his/her interest. We will present a framework for multimedia monitoring that uses a domain-data transformation model based approach to map domain-events to their equivalent data-events. We will motivate the new approach, present the architecture and highlight the information assimilation aspects. We will also present some open problems and issues arising from the novel way of looking at monitoring.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125923678","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}
引用次数: 3
View Independent Gait Identification Using a Particle Filter 使用粒子滤波的视图独立步态识别
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.116
Mitsuharu Emoto, A. Hayashi, N. Suematsu, Kazunori Iwata
{"title":"View Independent Gait Identification Using a Particle Filter","authors":"Mitsuharu Emoto, A. Hayashi, N. Suematsu, Kazunori Iwata","doi":"10.1109/AVSS.2006.116","DOIUrl":"https://doi.org/10.1109/AVSS.2006.116","url":null,"abstract":"We challenge the human identification problem from the perspective of gait and body shape. Conventional methods depend on the camera viewing direction, and since they are based on matching image silhouettes or features their identification accuracy is low when there is a big difference between the camera viewing direction of the test and training data. Thus, if a person is walking in an arbitrary direction, they may not be accurately identified. In this paper, we propose a novel method that does not depend on the camera viewing direction. We develop a state space model called a \"cyclic motion model\" whose state variables are not only the phase of the motions but also the camera viewing direction. We learn model parameters for each candidate person, and represent their walking with the cyclic motion model. To identify a person from the observed image sequence, we first compute the model likelihoods for the sequence using a particle filter that represents a probability distribution by a set of weighted samples, We then identify the person from model likelihoods.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128510984","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}
引用次数: 1
Open Source Vision Library (OpenVL) Based Local Positioning System 基于开源视觉库(OpenVL)的局部定位系统
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.88
Changsong Shen, S. Oldridge, S. Fels
{"title":"Open Source Vision Library (OpenVL) Based Local Positioning System","authors":"Changsong Shen, S. Oldridge, S. Fels","doi":"10.1109/AVSS.2006.88","DOIUrl":"https://doi.org/10.1109/AVSS.2006.88","url":null,"abstract":"This paper presents an Open Source Vision Library (OpenVL) for hardware acceleration of video-based surveillance systems and other computer vision applications to facilitate low latency, real-time response. Our approach is inspired by the success of OpenGL in promoting the development of hardware acceleration for computer graphics. Our goal is to create OpenVL as a standard interface for computer vision applications that can work seamlessly on different software and hardware platforms supporting distributed camera arrays. It allows users to easily recover useful information about real dynamic scenes quickly, and in a portable manner across various software and hardware platforms. Finally, we implement an example surveillance system, called a Local Positioning System (LPS), to validate the critical underlying concepts of OpenVL.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379742","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}
引用次数: 1
People Tracking Using a Time-of-Flight Depth Sensor 使用飞行时间深度传感器进行人员跟踪
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.92
A. Bevilacqua, L. D. Stefano, Pietro Azzari
{"title":"People Tracking Using a Time-of-Flight Depth Sensor","authors":"A. Bevilacqua, L. D. Stefano, Pietro Azzari","doi":"10.1109/AVSS.2006.92","DOIUrl":"https://doi.org/10.1109/AVSS.2006.92","url":null,"abstract":"Visually track several moving persons engaged in close interactions is known to be a very hard problem, though 3-D approaches based on stereo vision and plan-view maps offer much promise for dealing effectively with major issues such as occlusions and quick changes in body pose and appearance. However, in case of untextured scenes due to homogeneous objects or poor illumination, stereo-based tracking systems rapidly drop their performance. In this work, we present a real time people tracking system able to work even under severe low-lighting conditions. The system relies on a novel active sensor that provides brightness and depth images based on a Time of Flight (TOF) technology. The tracking algorithm is simple yet efficient, being based on geometrical constraints and invariants. Experiments accomplished under changing lighting conditions and involving multiple people closely interacting with each other have proved the reliability of the system.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742323","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}
引用次数: 104
Color-Based Signal Light Tracking in Real-Time Video 基于颜色的实时视频信号跟踪
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.34
Mahipal Reddy Yelal, S. Sasi, G. R. Shaffer, Ajith K. Kumar
{"title":"Color-Based Signal Light Tracking in Real-Time Video","authors":"Mahipal Reddy Yelal, S. Sasi, G. R. Shaffer, Ajith K. Kumar","doi":"10.1109/AVSS.2006.34","DOIUrl":"https://doi.org/10.1109/AVSS.2006.34","url":null,"abstract":"Tracking or detecting the position and color of signal lights has an important role in transport industry. Auto detection of signal light colors and their position using computer vision techniques provides or acts as a proof against a fraudulent claim losses. The current technology, such as vehicle mounted recording system, provides event recognition videos and the cause behind an accident. But it does not provide the complete information about color associated with signal lights. The detection of the color of a signal light under different illuminations is a critical issue. In this research, an intelligent method for tracking color of signal lights using La*b* color model combined with contour tracking is proposed. This research finds application in transportation, law enforcement and insurance claims. The system increases the efficiency of the accident investigation process and reduces the economic loss associated with automobile accidents of all types.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130923180","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}
引用次数: 24
Lossless Video Coding Using Lattice Based Distributed Source Coding Techniques 基于点阵的分布式源编码技术的无损视频编码
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.73
Mortuza Ali, M. Murshed
{"title":"Lossless Video Coding Using Lattice Based Distributed Source Coding Techniques","authors":"Mortuza Ali, M. Murshed","doi":"10.1109/AVSS.2006.73","DOIUrl":"https://doi.org/10.1109/AVSS.2006.73","url":null,"abstract":"Information theoretic proof exists to support that independent encoding of distributed sources with a joint decoder by exploiting the correlation among the sources can be as efficient as encoding them jointly. This paper successfully attempts to apply this concept for lossless video coding using lattices to divide the multidimensional integer pixel intensity hyperspace of a block of pixels into a finite number of cosets and encoding each block with its coset index. This radical departure from conventional predictive coding techniques not only offers very low computational complexity by avoiding expensive learning of predictor coefficients but also avoids any coding loss due to rounding of real-valued predictions. On standard test video sequences, this scheme achieved compression within as low as 4.6% of the latest scheme with optimal learning of predictor coefficients. The former, however, outperformed the latter as soon as it started updating the optimal predictor coefficients less frequently to reduce the computational complexity.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123442171","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}
引用次数: 3
Dissecting the Image of the Absolute Conic 剖析绝对圆锥曲线的形象
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.42
Imran N. Junejo, H. Foroosh
{"title":"Dissecting the Image of the Absolute Conic","authors":"Imran N. Junejo, H. Foroosh","doi":"10.1109/AVSS.2006.42","DOIUrl":"https://doi.org/10.1109/AVSS.2006.42","url":null,"abstract":"In this paper, we revisit the role of the image of the absolute conic (IAC) in recovering the camera geometry. We derive new constraints on IAC that advance our understanding of its underlying building blocks. The new constraints are shown to be intrinsic to IAC, rather than exploiting the scene geometry or the prior knowledge on the camera. We provide geometric interpretations for these new intrinsic constraints, and show their relations to the invariant properties of the IAC. This in turn provides a better insight into the role that IAC plays in determining the camera internal geometry. Since the new constraints are invariant properties of the IAC, they can be used to reparameterize its elements. We show that such reparameterization would allow to recover a more general camera geometry from a single view, compared to existing methods. We apply the new constraints to single view calibration using vanishing points, investigate the error resilience, and compare our results to Liebowitz-Zisserman (1999).","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117216707","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}
引用次数: 14
Number Plate Recognition Based on Support Vector Machines 基于支持向量机的车牌识别
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.82
Lihong Zheng, Xiangjian He
{"title":"Number Plate Recognition Based on Support Vector Machines","authors":"Lihong Zheng, Xiangjian He","doi":"10.1109/AVSS.2006.82","DOIUrl":"https://doi.org/10.1109/AVSS.2006.82","url":null,"abstract":"Automatic number plate recognition method is required due to increasing traffic management. In this paper, we first briefly review some knowledge of Support Vector Machines (SVMs). Then a number plate recognition algorithm is proposed. This algorithm employs an SVM to recognize numbers. The algorithm starts from a collection of samples of numbers from number plates. Each character is recognized by an SVM, which is trained by some known samples in advance. In order to recognize a number plate correctly, all numbers are tested one by one using the trained model. The recognition results are achieved by finding the maximum value between the outputs of SVMs. In this paper, experimental results based on SVMs are given. From the experimental results, we can make the conclusion that SVM is bettr than others such as inductive learning-based number recognition","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"4 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120821230","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}
引用次数: 45
Supplementing Markov Chains with Additional Features for Behavioural Analysis 为行为分析补充马尔可夫链的附加功能
2006 IEEE International Conference on Video and Signal Based Surveillance Pub Date : 2006-11-22 DOI: 10.1109/AVSS.2006.108
N. Carter, D. P. Young, J. Ferryman
{"title":"Supplementing Markov Chains with Additional Features for Behavioural Analysis","authors":"N. Carter, D. P. Young, J. Ferryman","doi":"10.1109/AVSS.2006.108","DOIUrl":"https://doi.org/10.1109/AVSS.2006.108","url":null,"abstract":"The combination of decision structures has been proposed by numerous researchers in the behavioural analysis domain, and been shown to improve accuracy over network structures tested in isolation; however, the vast majority of researchers use a simplistic combination strategy, amounting to little more than bridging of the network structures. This paper introduces a fusion mechanism between Bayesian and Markovian networks, which provides the Markov states with additional low-level features. This hybrid approach affords users a simplified network structure and provides the basis for an automatic technique, which allows the transitional probabilities in the network to be learned during online running of the system without the need for a training phase. The hybrid technique is validated using two very different datasets and is shown to outperform a standard network approach tested.","PeriodicalId":289876,"journal":{"name":"2006 IEEE International Conference on Video and Signal Based Surveillance","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098488","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}
引用次数: 9
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书