Research on the Image Detection of Moving Objects in Natural Environment

Abstract:

This paper proposed a new solution to the situation that the moving objects detection in natural environment might be disturbed by some natural conditions, such as wind, light, etc. Firstly, the background image was modeled with Gaussian mixture models, to eliminate the interference of some slight and cyclical movements caused by wind, like branches swinging. Secondly, the foreground was segmented through background subtraction, and the background model was updated to adapt to the gradual change of illumination. Finally, the shadows of moving objects were detected and removed in HSV color model, meaning that the detection was completed. The experiment verified that the solution above can effectively realize the preliminary detection of moving objects in natural environment.

• Periodical: Advanced Materials Research (Volumes 718-720)
• Pages: 2318-2323
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.718-720.2318
• Online since: July 2013
• Authors: Xiao Gang Jian, Xiao Xiang Xu, Xiao Hua Li, Lai De Shi
• Keywords: Background Modeling, Background Subtraction, Mage Detection, Shadow Removal

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