MULTISENSORY ARCHITECTURE FOR INTELLIGENT SURVEILLANCE SYSTEMS Integration of Segmentation, Tracking and Activity Analysis
Intelligent surveillance systems deal with all aspects of threat detection in a given scene; these range from segmentation to activity interpretation. The proposed architecture is a step towards solving the detection and tracking of suspicious objects as well as the analysis of the activities in the scene. It is important to include different kinds of sensors for the detection process. Indeed, their mutual advantages enhance the performance provided by each sensor on its own. The results of the multisensory architecture offered in the paper, obtained from testing the proposal on CAVIAR project data sets, are very promising within the three proposed levels, that is, segmentation based on accumulative computation, tracking based on distance calculation and activity analysis based on finite state automaton.
Intelligent surveillance systems Monitoring architecture Segmentation Tracking Activity analysis
Francisco Alfonso Cano José Carlos Castillo Juan Serrano-Cuerda Antonio Fernàndez-Caballero
Instituto de Investigación en Informática, Universidad de Castilla-La Mancha, 02071 Albacete, Spain Instituto de Investigación en Informática (I3A), Universidad de Castilla-La Mancha, 02071 Albacete,
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2624-2629
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）