Abstract:

Visual object tracking is a hot topic in areas of pattern recognition, computer vision and machine learning, which has a wide range of applications in video surveillance, video compressing coding, video retrieval, intelligent transport system and so on. In order to make a better understanding of object tracking algorithms based on appearance models for domestic and international peers, we comprehensively review the latest research progress in this field. We firstly introduce the mechanism of tracking algorithms.Then we summarize current researches on visual object tracking based on appearance models, including generative and discriminative methods. Thirdly, the state-of-the-art tracking algorithms are compared on the public datasets. We finally discuss future research trend of object tracking.

Key words: object tracking, appearance model, generative methods, discriminative methods