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Tracking of Moving Target Based on Background Updating and Lifting Wavelet Neural Network

Dan Dai, Bin Zeng, Wei Xiong, Yuxi Wang, Lijie Yu, Jian Zheng


For the actual needs of the tracking of moving target in production of the online detection process, it utilizes a new method to track the moving target in complex background. In a video stream, it is impossible to get the whole background in real time. The method is used to extract real time background, which can be used to extract the moving target. And then, the method utilizes the color and geometry information to find the key position of the moving target. Also, wavelet neural network can be used to recognize the color except the key position of the region by recognizing the color of the target surface. At last, the sport region can be located by comparing the color with other frames. This method is effective to track the moving visual objects. Both experimental results and actual produce show this method can effectively track moving targets.


moving target tracking, complex background, lifting wavelet , neural network.

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