In order to improve real-time and stability of multiple objects visual tracking algorithm

a target tracking algorithm based on fragment and multi-feature fusion is proposed. This algorithm fuses features of bottom layer color

texture and edge

in order to reduce single target feature algorithm is easily influenced by complex environment and target deformation. Build fragment-based target histogram with multi-feature fusion

introduce distinction degree of target and back-ground to restrain background component and combined with Kalman filter to forecast in the case of occlusion

according to the most confidence fragment for keep out object location

the algorithm achieves reliable goal tracking. Experimental results show that average processing time of the algorithm for every frame is 36. 2 ms

and achieve goal of real-time

and algorithm has strong robustness.