Abstract:

For the object tracking based on traditional color histogram and weighted color histogram may be lost in the complex environment. An improved object tracking based on the local background weighted histogram (LBWH) is approached. The proposed tracking algorithm treats local background as the context, and introduces it into target representation. As a result, a target description, the LBWH is proposed in this paper. The LBWH enhances the discrimination between the target and background, so that highlights the foreground in the target region. An extensive number of comparative experiments show that the proposed tracking algorithm is more stable and robust than the traditional color histogram and weighted color histogram tracking algorithms, especially in the case of the object partial occlusion and illumination variation.