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)
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.
刘龙, 孙强, 宋琦军. 面向目标检测的多尺度运动注意力融合算法研究[J]. 电子与信息学报, 2014, 36(5): 1133-1138.
Liu Long, Sun Qiang, Song Qi-Jun. Research on Multi-scale Motion Attention Fusion Algorithm for Video Target Detection. , 2014, 36(5): 1133-1138.
2014, Vol. 36 
