Aimed to solve the poor tracking accuracy problem of mean shift based on Bhattacharyya similarity

a novel weighting method is proposed based on the enhanced histogram intersection. The paper uses the ratio between the color components of the normalized color probability densities of the candidate model and that of the reference model as the weight coefficient. Results show that the new color weighting coefficient method has good adaptability under fast object moving or color similarity in scene

and the target tracking precision is enhanced effectively. In addition

a template updating method based on auxiliary model mechanism is used to solve the problems of camera vibration

illumination and object changing

therefore the cumulative error problem is also effectively alleviated. Through groups of contrast experiments

the new tracker shows its good adaptive ability and its robustness.