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CLC number: TP391.7; TP317.4

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2012-05-09

Cited: 1

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.6 P.428-439

http://doi.org/10.1631/jzus.C1100331


Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method


Author(s):  Shi-yan Wang, Hui-min Yu

Affiliation(s):  Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   wangshiyan@zju.edu.cn, yhm2005@zju.edu.cn

Key Words:  3D spatiotemporal segmentation, Motion estimation, Total variation, Primal-dual


Shi-yan Wang, Hui-min Yu. Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method[J]. Journal of Zhejiang University Science C, 2012, 13(6): 428-439.

@article{title="Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method",
author="Shi-yan Wang, Hui-min Yu",
journal="Journal of Zhejiang University Science C",
volume="13",
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pages="428-439",
year="2012",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1100331"
}

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%T Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method
%A Shi-yan Wang
%A Hui-min Yu
%J Journal of Zhejiang University SCIENCE C
%V 13
%N 6
%P 428-439
%@ 1869-1951
%D 2012
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1100331

TY - JOUR
T1 - Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method
A1 - Shi-yan Wang
A1 - Hui-min Yu
J0 - Journal of Zhejiang University Science C
VL - 13
IS - 6
SP - 428
EP - 439
%@ 1869-1951
Y1 - 2012
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100331


Abstract: 
A method based on 3D videos is proposed for multi-target segmentation and tracking with a moving viewing system. A spatiotemporal energy functional is built up to perform motion segmentation and estimation simultaneously. To overcome the limitation of the local minimum problem with the level set method, a convex relaxation method is applied to the 3D spatiotemporal segmentation model. The relaxed convex model is independent of the initial condition. A primal-dual algorithm is used to improve computational efficiency. Several indoor experiments show the validity of the proposed method.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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