A FRAMEWORK FOR SURVEILLANCE VIDEO INDEXING AND RETRIEVAL

International audienceWe propose a framework for surveillance video indexing and retrieval. In this paper, we focus on the following features: (1) combine recognized video contents (output from a video analysis module) with visual words (computed over all the raw video frames) to enrich the video indexation in a complimentary way; using this scheme user can make queries about objects of interest even when the video analysis output is not available; (2) support an interactive feature generation (currently color histogram and trajectory) that gives a facility for users to make queries at different levels according to the a priori available information and the expected results from retrieval; (3) develop a relevance feedback module adapted to the proposed indexing scheme and the specific properties of surveillance videos for the video surveillance context. Results emphasing these three aspects prove a good integration of video analysis for video surveillance and interactive indexing and retrieval

PEDESTRIAN RE-IDENTIFICATION USING COLOR FEATURE IN MULTI SURVEILLANCE VIDEO

In this paper we present a system to solve the problem of moving pedestrian re-identification in surveillance video. Surveillance video has low-resolution, high video noise and limited monitoring scope. Our proposed framework must deal with several problems such as variations of illumination conditions, poses and occlusions. How to extract the robust feature that can adapt the problems have been the task. The people of global color approaches do not change in the process of monitoring. Our paper use the color histogram as feature descriptors and choose RGB HSV and UVW for color space. Traditional histogram method extract the global color approach as the feature. The object color structure information will be neglected. We use the SPM model supplement the structure information for the histogram. The results of a test from a real surveillance system show that our method can provide a probability of matching