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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Vydané v:	IEEE signal processing letters Ročník 23; číslo 4; s. 507 - 511
Hlavní autori:	Yuanyuan Wu, Xiaohai He, Byeongkeun Kang, Haiying Song, Nguyen, Truong Q.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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Abstract	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 articulated human. We treat points as a set of vertices, and build a triangle mesh to join them in image space. The problem of extracting long-range motion trajectories is changed to the issue of consistency of mesh evolution over time. First, self-occlusion is detected by a novel mesh-based method and an adaptive motion estimation method is proposed to initialize mesh between successive frames. Furthermore, we propose an iterative algorithm to efficiently adjust vertices of mesh for a physically plausible deformation, which can meet the local rigidity of mesh and silhouette constraints. Finally, we compare the proposed method with the state-of-the-art methods on a set of challenging sequences. Evaluations demonstrate that our method achieves favorable performance in terms of both accuracy and integrity of extracted trajectories.
AbstractList	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 articulated human. We treat points as a set of vertices, and build a triangle mesh to join them in image space. The problem of extracting long-range motion trajectories is changed to the issue of consistency of mesh evolution over time. First, self-occlusion is detected by a novel mesh-based method and an adaptive motion estimation method is proposed to initialize mesh between successive frames. Furthermore, we propose an iterative algorithm to efficiently adjust vertices of mesh for a physically plausible deformation, which can meet the local rigidity of mesh and silhouette constraints. Finally, we compare the proposed method with the state-of-the-art methods on a set of challenging sequences. Evaluations demonstrate that our method achieves favorable performance in terms of both accuracy and integrity of extracted trajectories.
Author	Haiying Song Yuanyuan Wu Xiaohai He Nguyen, Truong Q. Byeongkeun Kang
Author_xml	– sequence: 1 surname: Yuanyuan Wu fullname: Yuanyuan Wu email: yuanyuanwu29@163.com organization: Coll. of Electron. & Inf. Eng., Sichuan Univ., Chengdu, China – sequence: 2 surname: Xiaohai He fullname: Xiaohai He email: hxh@scu.edu.cn organization: Coll. of Electron. & Inf. Eng., Sichuan Univ., Chengdu, China – sequence: 3 surname: Byeongkeun Kang fullname: Byeongkeun Kang email: bkkang@eng.ucsd.edu organization: Dept. of Electr. & Comput. Eng., Univ. of California-San Diego, La Jolla, CA, USA – sequence: 4 surname: Haiying Song fullname: Haiying Song email: shying08@163.com organization: Dept. of Commun. Eng., Chengdu Technol. Univ., Chengdu, China – sequence: 5 givenname: Truong Q. surname: Nguyen fullname: Nguyen, Truong Q. email: tqn001@eng.ucsd.edu organization: Dept. of Electr. & Comput. Eng., Univ. of California-San Diego, La Jolla, CA, USA
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SubjectTerms	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
Title	Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution
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