一种基于冗余小波变换的运动目标检测新算法

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI:10.1109/ICACI.2012.6463257

Jianxun Wang, Ming-gao Yu, Zheng Xia, Yan Wang, Ying Xia

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引用次数: 0

摘要

提出了一种适用于室内外监测的目标检测方法。针对传统帧间差分法提取运动目标的缺点和不足，提出了一种基于冗余小波变换的运动目标识别算法，即在冗余小波域中提取特征点，生成delaunay三角网格和自适应潜在运动区域，再生成运动目标区域。实验结果表明，该算法能够有效地提取运动目标，优于传统的帧差法。

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A novel moving object detection algorithm based on redundant wavelet transform

An object detection method which can be used in indoor and outdoor monitoring was proposed in this paper. Improving shortcomings and disadvantages of moving object extraction in traditional inter-frame difference method, it puts forward a moving object recognition algorithm based on redundant wavelet transform, namely, extraction of feature points in redundant wavelet domain to generate a delaunay triangulation grid and adaptive potential movement area, then moving object area. The experimental results show that the proposed algorithm can effectively extract moving object, which is better than traditional frame difference method.

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来源期刊

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

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