Fast Object Detection Method for Visual Surveillance

Most of the algorithms developed for object detection employ a background-subtraction technique which requires heavy computation. In this paper, we present a fast background-subtraction technique which can be readily applied to many existing object detection algorithms. The proposed technique consists of three parts: persistent background-subtraction, background-subtraction with nearby searching, and skipped background-subtraction. Experimental results show that the proposed technique can detect the moving objects effectively without any degradation of reliability.

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