Visual Tracking Method Based on Target Feature Dynamic Extracting

摘要

The main problem of now visual tracking algorithm is that the algorithm is lack of robustness, precision and speed. This paper gives a visual tracking method based on dynamic object features extracting. First extract object features according to the value of current frame image and build feature base. Then evaluate the recognition ability of every feature in feature base using fisher criteria and select high-recognition features to generate object feature set. Dynamic adjust the feature vectors of feature set according to the changes of environment object lie in. finally process visual tracking adopting particle filter method using feature vectors of feature set. Experiments have proved that this method can improve the tracking speed while assure tracking accuracy when lighting environment that moving objects lie in changes.