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Research on Motion Attention Fusion Model-Based Video Target Detection and Extraction of Global Motion Scene
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作者 Long Liu Boyang Fan Jing Zhao 《Journal of Signal and Information Processing》 2013年第3期30-35,共6页
For target detection algorithm under global motion scene, this paper suggests a target detection algorithm based on motion attention fusion model. Firstly, the motion vector field is pre-processed by accumulation and ... For target detection algorithm under global motion scene, this paper suggests a target detection algorithm based on motion attention fusion model. Firstly, the motion vector field is pre-processed by accumulation and median filter;Then, according to the temporal and spatial character of motion vector, the attention fusion model is defined, which is used to detect moving target;Lastly, the edge of video moving target is made exactly by morphologic operation and edge tracking algorithm. The experimental results of different global motion video sequences show the proposed algorithm has a better veracity and speedup than other algorithm. 展开更多
关键词 TARGET Detection ATTENTION Model Global SCENE
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