Moving objects detection based on space vector difference

Based on the gray-level change characteristic between two successive video frames, gray information are broadly used for the detection of moving objects. However, the method will lose a lot of useful color information. In this paper, we propose a new approach to detect moving objects in the color sp...

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Bibliographic Details
Published in2011 IEEE International Conference on Mechatronics and Automation pp. 646 - 651
Main Authors Zhen Qian, Debao Huang, Xiaohui Mao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
Adaptive threshold
Background subtraction
Colored noise
Image color analysis
Image segmentation
Moving objects detection
Object detection
Reflection
Space vector difference
Video sequences
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Summary:Based on the gray-level change characteristic between two successive video frames, gray information are broadly used for the detection of moving objects. However, the method will lose a lot of useful color information. In this paper, we propose a new approach to detect moving objects in the color space. The method utilizes the space vector difference to obtain a difference map between current video frame and background model. Then, by analyzing characteristic of the difference map histogram, an adaptive threshold is automatically calculated. The threshold can effectively separate moving objects and remove various significant noises in current video frame. The experimental results on several standard sequences demonstrate the efficiency and the high accuracy of the proposed method.
ISBN:9781424481132
1424481139
ISSN:2152-7431
2152-744X
DOI:10.1109/ICMA.2011.5985737