In order to solve target tracking problem under circumstances of abrupt motion

a meanshift tracking algorithm based on visual significance is proposed. The visual attention mechanism is applied to the framework of mean shift tracking

the video sequence is detected by using the spatial and temporal saliency algorithm

and the visual saliency map is generated. According to the visual figure corresponding significant area

from which target color characteristics of the saliency model is established to realize moving target tracking. Experimental results show that the proposed algorithm can accurately detect obvious spatial and temporal targets in the dynamic scene

and the algorithm effectively overcomes the problem of tracking instability in the case occlusion and loss of moving objects

it has strong robustness

so as to realize accurate tracking of target under complex scene.