Research on Motion Attention Fusion Model-Based Video Target Detection and Extraction of Global Motion Scene

• 作者: Boyang Fan Jing Zhao Long Liu
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: TARGET Detection ATTENTION Model Global SCENE
• 年，卷（期）: 2013,（3）
• 页码范围: 30-35
• 页数: 6页
• 分类号: TP39

摘要

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.