For the defect of optical estimation

noise and the limitations of existing motion attention model lead to the computation results of motion attention

which cannot accurately reflect the conspicuous characteristics of motion and constrain further application of motion conspicuous map. To improve the computation accuracy of motion attention

we suggest a target detection algorithm based on multi-scale motion attention analysis in this paper. According to the mechanism of visual attention

spatial-temporal motion attention model is built. Then noise influence is reduced by the time filtering. In view of the visual observation of scale dependence

the video frames are decomposed in multiple scales and the motion attention is also computed in spatial multiple scales in space. On the basis of the correlation coefficient of macro block pixel

low scale

middle scale

and the original scale

the motion attention computation results are fused to obtain the final motion attention map. The test result using different videos show the algorithm is more correct for motion attention than other algorithms and it greatly improves the accuracy of the motion attention map. In order to improve the inaccurate computation of motion attention

we propose a motion attention computation algorithm based on spatio-temporal multi-scale analysis. For different complex motion video scenes

the proposed algorithm can obviously enhance the computation accuracy of motion attention and lay a good foundation for the further application of visual motion attention.