关键词: 目标跟踪, 尺度方向, 自适应, 视觉

Abstract:

The problem of object scale and direction change has always been a difficulty in the process of visual object tracking. How to deal with the change of object scale and direction effectively is an important factor to ensure the robustness of object tracking algorithm. This paper introduces the development of video object tracking, and classifies the existing object scale and direction tracking algorithms：incremental search, mean shift iteration, corner matching, region second-order moment, particle filter, correlation filter and depth learning tracking algorithm. The basic idea of various algorithms and their processing methods of scale and direction are described, focusing on the analysis of the method of using depth learning technology to deal with the change of object scale and direction, analyzing the advantages and disadvantages of various algorithms, and pointing out their applicable occasions. The future development trend of object scale and direction tracking is prospected, and the main challenges and problems are put forward, which can be used for reference for related researchers.

Key words: object tracking, scale and direction, adaptation, visual