High Speed Moving Target Tracking Algorithm based on Mean Shift for Video Human Motion

Autor:	Zhanwei Feng
Rok vydání:	2021
Předmět:	History Computer science Mean-shift Human motion Tracking (particle physics) Algorithm Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1744:042180
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1744/4/042180
Popis:	As an important research field of computer vision, there are a lot of achievements of human action recognition in recent Most of the researches are confined to the daily gentle action of human, such as walking jogging, sitting down. In sports video there were many specific characteristics about human actions, such as the upside pose of human, high speed, moving viewpoint. For human motion characteristics of sports video, a highspeed moving target tracking algorithm was proposed. Mean shift was an effective tracking algorithm, which was employed to track moving object in video, but it loses object frequently when the tracked object in the video moves rapidly. We advanced an approach to tracking object moving rapidly, and it can work effectively when the object was in cluttered environment. Experimental shows that the proposed algorithm can improve the tracking effect of mean shift algorithm and effectively track high-speed moving target.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f0ff5881383278971a3840620251ae14 https://doi.org/10.1088/1742-6596/1744/4/042180 Zobrazit plný text záznamu