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.
关键词：Target Detection; Attention Model; Global Scene
