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CAIP
2003
Springer

Object Classification and Tracking in Video Surveillance

9 years 1 months ago
Object Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrians. In case of any abnormal activities, an alert should be issued. Normally a video surveillance system combines three phases of data processing: moving object extraction, moving object recognition and tracking, and decisions about actions. The extraction of moving objects, followed by object tracking and recognition, can often be defined in very general terms. The final component is largely depended upon the application context, such as pedestrian counting or traffic monitoring. In this paper, we review previous research on moving object tracking techniques, analyze some experimental results, and finally provide our conclusions for improved performances of traffic surveillance systems. One stationary camera has been used.
Qi Zang, Reinhard Klette
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2003
Where CAIP
Authors Qi Zang, Reinhard Klette
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