IEICE TRANSACTIONS on Information
Online HOG Method in Pedestrian Tracking
Summary :
Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.5 pp.1321-1324
- Publication Date
- 2010/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.1321
- Type of Manuscript
- LETTER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Chang LIU, Guijin WANG, Fan JIANG, Xinggang LIN, "Online HOG Method in Pedestrian Tracking" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 5, pp. 1321-1324, May 2010, doi: 10.1587/transinf.E93.D.1321.
Abstract: Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1321/_p
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@ARTICLE{e93-d_5_1321,
author={Chang LIU, Guijin WANG, Fan JIANG, Xinggang LIN, },
journal={IEICE TRANSACTIONS on Information},
title={Online HOG Method in Pedestrian Tracking},
year={2010},
volume={E93-D},
number={5},
pages={1321-1324},
abstract={Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.},
keywords={},
doi={10.1587/transinf.E93.D.1321},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Online HOG Method in Pedestrian Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 1321
EP - 1324
AU - Chang LIU
AU - Guijin WANG
AU - Fan JIANG
AU - Xinggang LIN
PY - 2010
DO - 10.1587/transinf.E93.D.1321
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2010
AB - Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.
ER -
English
