An Object Tracking Approach Based on Quantum Genetic Algorithm

被引：0

作者：

Jin Z.-F.-F. ^{[1
,2
]}

Hou Z.-Q. ^{[1
]}

Yu W.-S. ^{[1
]}

Wang X. ^{[1
,3
]}

Kou R.-K. ^{[4
]}

机构：

[1] Institute of Information and Navigation, Air Force Engineering University, Xi'an, 710077, Shaanxi

[2] Unit 95959 of Chinese People's Liberation Army, Beijing

[3] Unit 93665 of Chinese People's Liberation Army, Xinzhou, 036200, Shanxi

[4] Unit 95084 of Chinese People's Liberation Army, Foshan, 528226, Guangdong

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2020年 / 48卷 / 08期

关键词：

Color feature; Quantum genetic algorithm; Visual tracking;

D O I：

10.3969/j.issn.0372-2112.2020.08.006

中图分类号：

学科分类号：

摘要：

Aiming at the problem that traditional search method in visual tracking is not efficient and the global optimization is hard to be solved, as the global optimization ability of quantum genetic algorithm, we put forward a visual tracking method by using quantum genetic algorithm as the search strategy.In the framework of quantum genetic algorithm, regard the pixel positions as the individuals in the population, and extract the color histogram as characteristics.The individual fitness are calculated by taking similarity measure as the objective function.We find out the maximum similarity and output its homologous position, to finish the tracking.The experimental results show that the algorithm has obvious advantages in fast speed, occlusion and non-rigid deformation, and the tracking speed is fast. © 2020, Chinese Institute of Electronics. All right reserved.

引用

页码：1493 / 1501

页数：8

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