Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-24 Cooperative journals: 《计算机应用研究》
Abstract： Object detection is the basis of intelligent analysis, however, in the scene of illumination, shadow and clutter background, the problems of object misjudgment and unreasonable clustering is often appeared. Aiming at the above problems, propose a HVS-based object detection algorithm, which can optimize the error judgment and segmentation, and then accorded to the tracking characteristic of HVS and the continuity of object movement, combine the detection results of adjacent frames to achieve completely and accurately extraction object area. Finally, the simulation experiment based on the actual acquisition videos show that the proposed algorithm is more accurate and have good effect and in complex background.
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