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| Research on Multi-scale Motion Attention Fusion Algorithm for Video Target Detection |
| Liu Long① Sun Qiang① Song Qi-jun② |
①(The Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China)
②(School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China) |
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Abstract The detection to target in motion is a key technology in video analysis. This paper proposes a target detection algorithm based on a multi-scale motion attention analysis, which provides a new method for motion target detection under a global motion scene. Firstly, the noise of motion vector field is removed by filter, and according to the mechanism of visual attention, spatial-temporal motion attention model is built; then the trust degree of motion vector is suggested on the basis of validity analysis of motion vector, and decision fusion of multi-scale motion attention is accomplished by D-S theory for detecting the region of motion target. The test results of different videos show that the algorithm is able to detect precisely targets under a global motion scene, thus effectively overcoming the limitations of the traditional algorithms.
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Received: 11 April 2013
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Corresponding Authors:
Liu Long
E-mail: Liulong@xaut.edu.cn
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2014, Vol. 36 
