A Review of Object Tracking Based on Mean Shift Algorithm

doi:10.3969/j.issn.1006-2475.2017.01.013

Abstract

Abstract: The mean shift algorithm and its research progress are introduced, and the video tracking method based on mean shift algorithm has been largely utilized in a wide-range of computer vision investigation and its practical application, especially in video tracking research. More importantly, among those existing object tracking algorithms, the mean shift algorithm could be able to solve numbers of critical problems during object tracking, such as sudden acceleration of the moving object, background interference, mutual occlusions among objects and/or between object and background, shape change of objects and/or background, etc. This paper describes the theory and applications based on improved mean shift algorithm and itself, including the details of those methods and their merits and demerits.

Key words: object tracking, mean shift, object occlusion, background interference

CLC Number:

TP391

LI Hui-xia1, LI Lin-sheng1, YAN Qing-sen2, ZHOU Jing-wen1. A Review of Object Tracking Based on Mean Shift Algorithm[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.01.013.

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