An Adaptive Background Formation Algorithm Considering Stationary Object

Jeong, Jong Myeon

In the intelligent video surveillance system, moving objects generally are detected by calculatingdifference between background and input image. However formation of reliable background is known to bestill challenging task because it is hard to cope with the complicated background. In this paper we proposean adaptive background formation algorithm considering stationary object. At first, the initial background isformed by averaging the initial N frames. Object detection is performed by comparing the current inputimage and background. If the object is at a stop for a long time, we consider the object as stationaryobject and background is replaced with the stationary object. On the other hand, if the object is a moving object, the pixels in the object are not reflected for background modification. Because the proposedalgorithm considers gradual illuminance change, slow moving object and stationary object, we can formbackground adaptively and robustly which has been shown by experimental results.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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