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2009 WRI World Congress on Computer Science and Information Engineering
Adaptive Stereo Video Object Segmentation Based on Depth and Spatio-temporal Information
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Jian Wei, Shigang Wang, Liwei Chen, Tianxiao Guan, "Adaptive Stereo Video Object Segmentation Based on Depth and Spatio-temporal Information," Computer Science and Information Engineering, World Congress on, vol. 6, pp. 140-144, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.422, author = {Jian Wei and Shigang Wang and Liwei Chen and Tianxiao Guan}, title = {Adaptive Stereo Video Object Segmentation Based on Depth and Spatio-temporal Information}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {6}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {140-144}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.422}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - Adaptive Stereo Video Object Segmentation Based on Depth and Spatio-temporal Information SN - 978-0-7695-3507-4 SP140 EP144 A1 - Jian Wei, A1 - Shigang Wang, A1 - Liwei Chen, A1 - Tianxiao Guan, PY - 2009 KW - Stereo vision KW - video coding KW - image segmentation KW - object detection VL - 6 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.422
In this paper, we present an adaptive stereo video object segmentation algorithm based on depth and spatio-temporal information. First, the object is extracted from the left channel with a new algorithm, which consists of three steps: depth segmentation, adaptive change detection based on twice frame-difference, and edge modification. Then, an inverse matching operation is proposed for object extraction from the right channel according to the extracted object in the left channel and disparity map. Finally experimental results demonstrate that our proposed algorithm successfully extracts moving objects from various stereo video sequences, even if the objects hold still or move slowly in several frames, and this algorithm can solve the problem of extracting multiple objects overlapped.
Index Terms:
Stereo vision, video coding, image segmentation, object detection
Citation:
Jian Wei, Shigang Wang, Liwei Chen, Tianxiao Guan, "Adaptive Stereo Video Object Segmentation Based on Depth and Spatio-temporal Information," csie, vol. 6, pp.140-144, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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