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Pyramidal channel features for pedestrian detector

Title
Pyramidal channel features for pedestrian detector
Authors
Lim, Young ChulKang, Minsung
DGIST Authors
Lim, Young Chul; Kang, Minsung
Issue Date
2015
Citation
Research in Adaptive and Convergent Systems, RACS 2015, 195-199
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
Most state-of-the-art pedestrian detectors diversify features to improve the detection performance. Among such features, the gradient histogram is the most informative. This work investigates how diverse orientation information influences the pedestrian detection performance. In this paper, we propose a pedestrian detection method which uses pyramidal aggregated channel features which are generated with a layer-by-layer assembly scheme. Experimental results on the INRIA dataset show that our method can reach state-of-the-art performance despite using only gradient features. © 2015 ACM.
URI
http://hdl.handle.net/20.500.11750/3701
DOI
10.1145/2811411.2811511
Publisher
Association for Computing Machinery, Inc
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers


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