Robust Visual Tracking by Integrating Various Cues
Summary :
This paper describes methods of tracking of moving objects in a cluttered background by integrating optical flow, depth data, and/or uniform brightness regions. First, a basic method is introduced which extracts a region with uniform optical flow as the target region. Then an extended method is described in which optical flow and depth are fused. A target region is extracted by Baysian inference in term of optical flow, depth and the predicted target location. This method works only for textured objects because optical flow or depth are extracted for textured objects. In order to solve this problem, uniform regions in addition to the optical flow are used for tracking. Realtime human tracking is realized for real image sequences by using a real time processor with multiple DSPs.
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- IEICE TRANSACTIONS on Information Vol.E81-D No.9 pp.951-958
- Publication Date
- 1998/09/25
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- Special Section INVITED PAPER (Special Issue on Multisensor Fusion and Integration)
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Yoshiaki SHIRAI, Tsuyoshi YAMANE, Ryuzo OKADA, "Robust Visual Tracking by Integrating Various Cues" in IEICE TRANSACTIONS on Information,
vol. E81-D, no. 9, pp. 951-958, September 1998, doi: .
Abstract: This paper describes methods of tracking of moving objects in a cluttered background by integrating optical flow, depth data, and/or uniform brightness regions. First, a basic method is introduced which extracts a region with uniform optical flow as the target region. Then an extended method is described in which optical flow and depth are fused. A target region is extracted by Baysian inference in term of optical flow, depth and the predicted target location. This method works only for textured objects because optical flow or depth are extracted for textured objects. In order to solve this problem, uniform regions in addition to the optical flow are used for tracking. Realtime human tracking is realized for real image sequences by using a real time processor with multiple DSPs.
URL: https://global.ieice.org/en_transactions/information/10.1587/e81-d_9_951/_p
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@ARTICLE{e81-d_9_951,
author={Yoshiaki SHIRAI, Tsuyoshi YAMANE, Ryuzo OKADA, },
journal={IEICE TRANSACTIONS on Information},
title={Robust Visual Tracking by Integrating Various Cues},
year={1998},
volume={E81-D},
number={9},
pages={951-958},
abstract={This paper describes methods of tracking of moving objects in a cluttered background by integrating optical flow, depth data, and/or uniform brightness regions. First, a basic method is introduced which extracts a region with uniform optical flow as the target region. Then an extended method is described in which optical flow and depth are fused. A target region is extracted by Baysian inference in term of optical flow, depth and the predicted target location. This method works only for textured objects because optical flow or depth are extracted for textured objects. In order to solve this problem, uniform regions in addition to the optical flow are used for tracking. Realtime human tracking is realized for real image sequences by using a real time processor with multiple DSPs.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Robust Visual Tracking by Integrating Various Cues
T2 - IEICE TRANSACTIONS on Information
SP - 951
EP - 958
AU - Yoshiaki SHIRAI
AU - Tsuyoshi YAMANE
AU - Ryuzo OKADA
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E81-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 1998
AB - This paper describes methods of tracking of moving objects in a cluttered background by integrating optical flow, depth data, and/or uniform brightness regions. First, a basic method is introduced which extracts a region with uniform optical flow as the target region. Then an extended method is described in which optical flow and depth are fused. A target region is extracted by Baysian inference in term of optical flow, depth and the predicted target location. This method works only for textured objects because optical flow or depth are extracted for textured objects. In order to solve this problem, uniform regions in addition to the optical flow are used for tracking. Realtime human tracking is realized for real image sequences by using a real time processor with multiple DSPs.
ER -
English
