Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution

This letter presents a novel approach to extract reliable dense and long-range motion trajectories of articulated human in a video sequence. Compared with existing approaches that emphasize temporal consistency of each tracked point, we also consider the spatial structure of tracked points on the ar...

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Veröffentlicht in:	IEEE signal processing letters Jg. 23; H. 4; S. 507 - 511
Hauptverfasser:	Yuanyuan Wu, Xiaohai He, Byeongkeun Kang, Haiying Song, Nguyen, Truong Q.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Articulated articulated motion Consistency Construction Evolution Human motion Iterative algorithms Iterative methods mesh evolution Motion trajectories Optical imaging Optical signal processing Reliability Tracking Trajectories Trajectory Video compression Video sequences Articulated motion mesh evolution motion trajectories
ISSN:	1070-9908, 1558-2361
Online-Zugang:	Volltext
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