Filtered channel features for pedestrian detection

This paper starts from the observation that multiple top performing pedestrian detectors can be modelled by using an intermediate layer filtering low-level features in combination with a boosted decision forest. Based on this observation we propose a unifying framework and experimentally explore dif...

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Bibliographic Details
Published in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1751 - 1760
Main Authors:	Zhang, Shanshan, Benenson, Rodrigo, Schiele, Bernt
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	Channels Computer vision Conferences Decision trees Detectors Feature extraction Filter banks Filtering Image color analysis Optical filters Optical flow Pattern recognition Pedestrians Recall Shape Training
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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