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Front. Inform. Technol. Electron. Eng.  2012, Vol. 13 Issue (6): 428-439    DOI: 10.1631/jzus.C1100331
    
Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method
Shi-yan Wang, Hui-min Yu
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China
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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.

Key words： 3D spatiotemporal segmentation      Motion estimation      Total variation      Primal-dual     
Received: 15 November 2011      Published: 05 June 2012
CLC:  TP391.7  
  TP317.4  
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Shi-yan Wang, Hui-min Yu. Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method. Front. Inform. Technol. Electron. Eng., 2012, 13(6): 428-439.

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http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1100331     OR     http://www.zjujournals.com/xueshu/fitee/Y2012/V13/I6/428


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

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.

关键词： 3D spatiotemporal segmentation,  Motion estimation,  Total variation,  Primal-dual 
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