A Moving Objects Tracking Method Based on a Combination of Local Binary Pattern Texture and Hue

Abstract

Moving objects tracking is one of the key techniques in intelligent video surveillance. It is an important aspect to describe a moving object in a tracking algorithm. A new moving objects tracking algorithm is proposed in this paper, which combines improved local binary pattern texture and hue information to describe moving objects and adopts the idea of Camshift algorithm. In order to reduce matching complexity on the premise of satisfying the accuracy, many kinds of LBP and hue are cut down. Experiments show that the proposed algorithm can track effetely moving objects, can satisfy real-time and has better performance than others.