Method for Auto-detection of Tracking Moving Objects in Complicated Dynamic Environment

Authors

Yanling Wang, 1. College of Computer and Information, Luoyang Normal University, Luoyang 471022, China;;
Guanglun Li, 2. Department of electrical engineering and automation, Luoyang Institute of Science and Technology, Luoyang 471013, China;
Lin Xiao, 1. College of Computer and Information, Luoyang Normal University, Luoyang 471022, China;;

Abstract

Abstract: An approach was proposed to solve the problem of not accurately identifying the moving targets in the complex dynamic environment. The moving objects were detected by utilizing the method based on the HSV color space and auto-updating the background. The background subtraction method based on the HSV color space was used to solve the problem that the objects could not be accurately identified for the color similarity of objects and background and the influence of the shadow of the moving targets. The background change was divided into the temporary stability and the rapid change, and an automatically updating double background was used to deal with changing of the background. The change rate which indicated the degree of background was introduced to updating all or partial background. Experimental results show that this way accurately identifies the moving objects.

Recommended Citation

Wang, Yanling; Li, Guanglun; and Xiao, Lin (2020) "Method for Auto-detection of Tracking Moving Objects in Complicated Dynamic Environment," Journal of System Simulation: Vol. 27: Iss. 4, Article 7.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss4/7

First Page

715

Revised Date

2014-04-09

DOI Link

https://doi.org/

Last Page

722

CLC

TN941.1

Recommended Citation

Wang Yanling, Li Guanglun, Lin Xiao. Method for Auto-detection of Tracking Moving Objects in Complicated Dynamic Environment[J]. Journal of System Simulation, 2015, 27(4): 715-722.