Moving target detection based on features matching of RGB on a foggy day

Ya-qun Zhang; Zong-xi Song

doi:10.1117/12.2243963

29 August 2016 Moving target detection based on features matching of RGB on a foggy day

Ya-qun Zhang, Zong-xi Song

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330J (2016) https://doi.org/10.1117/12.2243963
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Moving target detection is a significant research content of image processing and computer vision. Precise detection of moving target is the basic of target positioning, target tracking and target classification. There are many applications of it in intelligent monitoring, traffic statistics and many other fields. How to detect the moving object in a bad weather, for example, a heavy foggy day, is a problem that needs be solved in the engineering, we all know that the haze has been a quite serious environment problem in our life! The paper is based on this. First, getting rid of fog in the video, and then, extracting the features of pixels, establishing features dictionaries, building models for background by features matching in order to extract foreground. The result shows that the proposed algorithm can detect the moving target accurately in a foggy day.

Citation Download Citation

Ya-qun Zhang and Zong-xi Song "Moving target detection based on features matching of RGB on a foggy day", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330J (29 August 2016); https://doi.org/10.1117/12.2243963

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