Motion analysis via feature point tracking technology

Yu Shin Lin, Shih Ming Chang, Joseph C. Tsai, Timothy K. Shih, Hui Huang Hsu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In this paper, we propose a tracking method via SIFT algorithm for recording the trajectory of human motion in image sequence. Instead of using a human model that present the human body to analyze motion. Only exact two feature points from the local region of a trunk, one for joints and one for limb. We calculate the similarity between two features of trajectories. The method of computing similarity is based on the "motion vector" and "angle". We can know the degree of the angle by the connect line from joint to limb in a plane which is using the core of object to be the center. The proposed method consists of two parts. The first is to track the feature points and output the file which record motion trajectory. The second part is to analyze features of trajectory and adopt DTW (Dynamic Time Warping) to calculate the score to show the similarity between two trajectories.

原文???core.languages.en_GB???
主出版物標題Advances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Proceedings
頁面296-303
頁數8
版本PART 2
DOIs
出版狀態已出版 - 2011
事件17th Multimedia Modeling Conference, MMM 2011 - Taipei, Taiwan
持續時間: 5 1月 20117 1月 2011

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 2
6524 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???17th Multimedia Modeling Conference, MMM 2011
國家/地區Taiwan
城市Taipei
期間5/01/117/01/11

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