一种改进的运动物体检测算法

L. Gang, Ning Shangkun, You Yugan, Wen Guang-lei, Zheng Siguo
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引用次数: 20

摘要

运动目标检测是视频目标跟踪的重要组成部分。良好的运动目标检测使视频跟踪更加有效。本文在传统的三帧差分法比较的基础上提出了一种新的算法。指出了传统三坐标系微分法的不足。结合Canny边缘检测算法,改进的三帧差分算法使检测到的运动目标信息更加完整。该算法充分利用了三帧差分法和背景减法的优点。实验结果表明,该方法简单,能准确地检测出运动目标。
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An improved moving objects detection algorithm
Moving target detection is an important part of video target tracking. Good moving target detection makes video track more effective. This paper proposes a new algorithm based on the traditional three-frame differential method comparison. The shortage of traditional three-frame differential method is pointed out. Combined with Canny edge detection algorithm, the improved three frame differential algorithm makes moving target detected containing more complete information. This new algorithm takes advantage of good performances of three-frame-difference method and background subtraction method adequately. The proposed method is simple and experimental results show that it can accurately detect moving targets.
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