Non-rigid Object Tracking as Salient Region Segmentation and Association
Summary :
Tracking a non-rigid object in a video in the presence of background clutter and partial occlusion is challenging. We propose a non-rigid object-tracking paradigm by repeatedly detecting and associating saliency regions. Saliency region segmentation is operated in each frame. The segmentation results provide rich spatial support for tracking and make the reliable tracking of non-rigid object without drifting possible. The precise object region is obtained simultaneously by associating the saliency region using two independent observers. Our formulation is quite general and other salient-region segmentation algorithms also can be used. Experimental results have shown that such a paradigm can effectively handle tracking problems of objects with rapid movement, rotation and partial occlusion.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.4 pp.934-937
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.934
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Xiaolin ZHAO, Xin YU, Liguo SUN, Kangqiao HU, Guijin WANG, Li ZHANG, "Non-rigid Object Tracking as Salient Region Segmentation and Association" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 4, pp. 934-937, April 2011, doi: 10.1587/transinf.E94.D.934.
Abstract: Tracking a non-rigid object in a video in the presence of background clutter and partial occlusion is challenging. We propose a non-rigid object-tracking paradigm by repeatedly detecting and associating saliency regions. Saliency region segmentation is operated in each frame. The segmentation results provide rich spatial support for tracking and make the reliable tracking of non-rigid object without drifting possible. The precise object region is obtained simultaneously by associating the saliency region using two independent observers. Our formulation is quite general and other salient-region segmentation algorithms also can be used. Experimental results have shown that such a paradigm can effectively handle tracking problems of objects with rapid movement, rotation and partial occlusion.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.934/_p
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@ARTICLE{e94-d_4_934,
author={Xiaolin ZHAO, Xin YU, Liguo SUN, Kangqiao HU, Guijin WANG, Li ZHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Non-rigid Object Tracking as Salient Region Segmentation and Association},
year={2011},
volume={E94-D},
number={4},
pages={934-937},
abstract={Tracking a non-rigid object in a video in the presence of background clutter and partial occlusion is challenging. We propose a non-rigid object-tracking paradigm by repeatedly detecting and associating saliency regions. Saliency region segmentation is operated in each frame. The segmentation results provide rich spatial support for tracking and make the reliable tracking of non-rigid object without drifting possible. The precise object region is obtained simultaneously by associating the saliency region using two independent observers. Our formulation is quite general and other salient-region segmentation algorithms also can be used. Experimental results have shown that such a paradigm can effectively handle tracking problems of objects with rapid movement, rotation and partial occlusion.},
keywords={},
doi={10.1587/transinf.E94.D.934},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Non-rigid Object Tracking as Salient Region Segmentation and Association
T2 - IEICE TRANSACTIONS on Information
SP - 934
EP - 937
AU - Xiaolin ZHAO
AU - Xin YU
AU - Liguo SUN
AU - Kangqiao HU
AU - Guijin WANG
AU - Li ZHANG
PY - 2011
DO - 10.1587/transinf.E94.D.934
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2011
AB - Tracking a non-rigid object in a video in the presence of background clutter and partial occlusion is challenging. We propose a non-rigid object-tracking paradigm by repeatedly detecting and associating saliency regions. Saliency region segmentation is operated in each frame. The segmentation results provide rich spatial support for tracking and make the reliable tracking of non-rigid object without drifting possible. The precise object region is obtained simultaneously by associating the saliency region using two independent observers. Our formulation is quite general and other salient-region segmentation algorithms also can be used. Experimental results have shown that such a paradigm can effectively handle tracking problems of objects with rapid movement, rotation and partial occlusion.
ER -
English
