期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2016
卷号：14
期号：3A
页码：297-305
DOI：10.12928/telkomnika.v14i3A.4421
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Aiming at the problem of trajectory recognition of moving objects in video surveillance, an analysis algorithm of the target trajectory based on genetic evolutionary and particle filter is presented, which is combined with genetic algorithm. Firstly generate initial parent particle population in the reference frame, use preferred evolution strategies of genetic algorithm, and select excellent particles of offspring. Then do not the corresponding calculations on the basis of crossover and mutation rules for the unselected particles until reach the number of iterations. At last, calculate object states by the weights of each particle and obtain the target trajectory. The new algorithm is not affected by the background changes. Compared with the existing algorithms, the simulation results show that it easy to realize and has more stable tracking effect.
其他摘要：Aiming at the problem of trajectory recognition of moving objects in video surveillance, an analysis algorithm of the target trajectory based on genetic evolutionary and particle filter is presented, which is combined with genetic algorithm. Firstly generate initial parent particle population in the reference frame, use preferred evolution strategies of genetic algorithm, and select excellent particles of offspring. Then do not the corresponding calculations on the basis of crossover and mutation rules for the unselected particles until reach the number of iterations. At last, calculate object states by the weights of each particle and obtain the target trajectory. The new algorithm is not affected by the background changes. Compared with the existing algorithms, the simulation results show that it easy to realize and has more stable tracking effect.
