Abstract
The level set method (LSM) is one of the methods used frequently to get the precise contours of the targets when the background is dynamic. In order to use the motion information and improve the processing efficiency, an adaptive level set method (ALSM) is proposed. In this approach, the particle filter algorithm is used to track the targets, so we get the rough external contours and their centroids. Then the level set curve evolution is performed to get the precise external contours of the targets. Lastly, the detection results are fed back to the tracking frame to revise the updating regions. The experiment results show that the proposed algorithm can adapt to the motion variations of the targets, and distinguish the targets.
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