网络视频监控中运动目标跟踪方法改进

doi:10.3969/j.issn.1000-436x.2014.z1.031

Abstract

Abstract:

To improve the performance of the traditional MeanShift algorithm based on Kalman filter,acceleration to solve the problem that the moving target changes the direction abruptly is proposed.Another algorithm using simplified Camshift algorithm to keep track of the blob size has low time complexity which meets the real time requirement of network video surveillance.

Key words: network video monitoring, MeanShift algorithm, Kalman filter, Camshift algorithm

Guang-xing HAN,Chong-rong LI. Improvement on moving object tracking method for network video surveillance[J]. Journal on Communications, 2014, 35(Z1): 160-164.

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References 12

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Improvement on moving object tracking method for network video surveillance

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