Moving Object Extraction and Relative Depth Estimation of Background regions in Video Sequences 


Vol. 12,  No. 3, pp. 247-256, Jun.  2005
10.3745/KIPSTB.2005.12.3.247


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  Abstract

One of the classic research problems in computer vision is that of stereo, i.e., the reconstruction of three dimensional shape from two or more images. This paper deals with the problem of extracting depth information of non-rigid dynamic 3D scenes from general 2D video sequences taken by monocular camera, such as movies, documentaries, and dramas. Depth of the blocks are extracted from the resultant block motions throughout following two steps : (i) calculation of global parameters concerned with camera translations and focal length using the locations of blocks and their motions, (ii) calculation of each block depth relative to average image depth using the global parameters and the location of the block and its motion, Both singular and non-singular cases are experimented with various video sequences. The resultant relative depths and ego-motion object shapes are virtually identical to human vision.

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[IEEE Style]

Y. M. Park and C. S. Chang, "Moving Object Extraction and Relative Depth Estimation of Background regions in Video Sequences," The KIPS Transactions:PartB , vol. 12, no. 3, pp. 247-256, 2005. DOI: 10.3745/KIPSTB.2005.12.3.247.

[ACM Style]

Young Min Park and Chu Seok Chang. 2005. Moving Object Extraction and Relative Depth Estimation of Background regions in Video Sequences. The KIPS Transactions:PartB , 12, 3, (2005), 247-256. DOI: 10.3745/KIPSTB.2005.12.3.247.

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