A Multi-Camera Visual Surveillance System for Tracking of Reoccurrences of People Export

@proceedings{citeulike:4276058, abstract = {This paper describes a software system to track the reoccurrences of objects in multi-camera visual surveillance. Specifically, it is designed for after-event tracking of people to aid in a typical investigation of events occurring in a certain location at a certain time. This is a nontrivial problem because of several aspects that influence the appearance of scenes and people, such as changes in viewpoints, lighting conditions, shadow, occlusion, and weather conditions. Another challenge, which is the focus of this paper, is to integrate different required components into a complete working system, namely (i) motion detection, (ii) object classification, (iii) object modeling and matching, and (iv) interactive retrieval and visualization. We have designed and implemented a robust system consisting of state-of-the-art technologies in each component. We performed experiments with the system on a real-life dataset gathered from 12 street surveillance cameras over two hours in a city area. The experiments showed promising results in retrieving the reoccurrences of four target subjects.}, author = {Pham, T. V. and Worring, M. and Smeulders, A. W. M.}, booktitle = {Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on}, citeulike-article-id = {4276058}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICDSC.2007.4357520}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4357520}, doi = {10.1109/ICDSC.2007.4357520}, journal = {Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on}, keywords = {and, any, classification, configuration, detection, form, many, most, not, object, regular, seriously, software, surveillance, system, tracking, visual}, pages = {164--169}, posted-at = {2009-04-05 23:59:16}, priority = {2}, title = {A Multi-Camera Visual Surveillance System for Tracking of Reoccurrences of People}, url = {http://dx.doi.org/10.1109/ICDSC.2007.4357520}, year = {2007} }

TY - CONF ID - citeulike:4276058 L3 - citeulike-article-id:4276058 N2 - This paper describes a software system to track the reoccurrences of objects in multi-camera visual surveillance. Specifically, it is designed for after-event tracking of people to aid in a typical investigation of events occurring in a certain location at a certain time. This is a nontrivial problem because of several aspects that influence the appearance of scenes and people, such as changes in viewpoints, lighting conditions, shadow, occlusion, and weather conditions. Another challenge, which is the focus of this paper, is to integrate different required components into a complete working system, namely (i) motion detection, (ii) object classification, (iii) object modeling and matching, and (iv) interactive retrieval and visualization. We have designed and implemented a robust system consisting of state-of-the-art technologies in each component. We performed experiments with the system on a real-life dataset gathered from 12 street surveillance cameras over two hours in a city area. The experiments showed promising results in retrieving the reoccurrences of four target subjects. JF - Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on EP - 169 TI - A Multi-Camera Visual Surveillance System for Tracking of Reoccurrences of People T2 - Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on SP - 164 KW - and KW - any KW - classification KW - configuration KW - detection KW - form KW - many KW - most KW - not KW - object KW - regular KW - seriously KW - software KW - surveillance KW - system KW - tracking KW - visual AU - Pham, TV AU - Worring, M AU - Smeulders, AWM PY - 2007/// UR - http://dx.doi.org/10.1109/ICDSC.2007.4357520 ER -