Counting People Based on Dynamic Texture Background Model
نویسنده
چکیده
Conventional video surveillance systems often have several shortcomings. First, target detection can’t be accurate under the light variation environment. Second, multiple target tracking becomes difficult on a crowd scene. Third, it is difficult to partition the tracked targets from a merged image blob. Finally, the tracking efficiency and precision are reduced by the inaccurate foreground detection. In this paper, the fusion of temporal and texture background model, multi-mode tracking scheme are proposed to improve the above mentioned problems. In addition, a people counting scheme is proposed based on the multi-mode multi-target tracking method on a crowd scene.
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