Pedestrian Detection for Counting Applications Using a Top-View Camera
Summary :
This paper presents a pedestrian detection framework using a top-view camera. The paper contains two novel contributions for the pedestrian detection task: 1. Using shape context method to estimate the pedestrian directions and normalizing the pedestrian regions. 2. Based on the locations of the extracted head candidates, system chooses the most adaptive classifier from several classifiers automatically. Our proposed methods may solve the difficulties on top-view pedestrian detection field. Experimental was performed on video sequences with different illumination and crowed conditions, the experimental results demonstrate the efficiency of our algorithm.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.6 pp.1269-1277
- Publication Date
- 2011/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.1269
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Xue YUAN, Xue-Ye WEI, Yong-Duan SONG, "Pedestrian Detection for Counting Applications Using a Top-View Camera" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 6, pp. 1269-1277, June 2011, doi: 10.1587/transinf.E94.D.1269.
Abstract: This paper presents a pedestrian detection framework using a top-view camera. The paper contains two novel contributions for the pedestrian detection task: 1. Using shape context method to estimate the pedestrian directions and normalizing the pedestrian regions. 2. Based on the locations of the extracted head candidates, system chooses the most adaptive classifier from several classifiers automatically. Our proposed methods may solve the difficulties on top-view pedestrian detection field. Experimental was performed on video sequences with different illumination and crowed conditions, the experimental results demonstrate the efficiency of our algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.1269/_p
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@ARTICLE{e94-d_6_1269,
author={Xue YUAN, Xue-Ye WEI, Yong-Duan SONG, },
journal={IEICE TRANSACTIONS on Information},
title={Pedestrian Detection for Counting Applications Using a Top-View Camera},
year={2011},
volume={E94-D},
number={6},
pages={1269-1277},
abstract={This paper presents a pedestrian detection framework using a top-view camera. The paper contains two novel contributions for the pedestrian detection task: 1. Using shape context method to estimate the pedestrian directions and normalizing the pedestrian regions. 2. Based on the locations of the extracted head candidates, system chooses the most adaptive classifier from several classifiers automatically. Our proposed methods may solve the difficulties on top-view pedestrian detection field. Experimental was performed on video sequences with different illumination and crowed conditions, the experimental results demonstrate the efficiency of our algorithm.},
keywords={},
doi={10.1587/transinf.E94.D.1269},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - Pedestrian Detection for Counting Applications Using a Top-View Camera
T2 - IEICE TRANSACTIONS on Information
SP - 1269
EP - 1277
AU - Xue YUAN
AU - Xue-Ye WEI
AU - Yong-Duan SONG
PY - 2011
DO - 10.1587/transinf.E94.D.1269
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2011
AB - This paper presents a pedestrian detection framework using a top-view camera. The paper contains two novel contributions for the pedestrian detection task: 1. Using shape context method to estimate the pedestrian directions and normalizing the pedestrian regions. 2. Based on the locations of the extracted head candidates, system chooses the most adaptive classifier from several classifiers automatically. Our proposed methods may solve the difficulties on top-view pedestrian detection field. Experimental was performed on video sequences with different illumination and crowed conditions, the experimental results demonstrate the efficiency of our algorithm.
ER -
English
