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Fast stereo-based pedestrian detection using hypotheses

Title
Fast stereo-based pedestrian detection using hypotheses
Authors
Kang, Min-SungLim, Young-Chul
DGIST Authors
Kang, Min-Sung; Lim, Young-Chul
Issue Date
2015
Citation
Research in Adaptive and Convergent Systems, RACS 2015, 131-135
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
In this paper, we present a multiple hypotheses framework to detect pedestrians accurately and precisely. The multiple hypotheses framework consists of obstacle detection, pedestrian recognition and data association. Obstacle detection detects all obstacles on the road. Pedestrian recognition classifies the detected obstacles as persons or non-persons. The data association component assigns multiple results to the correct hypotheses with multiple similarity functions. The experimental results demonstrate that the proposed method enhances the accuracy and precision of the region of interest. © 2015 ACM.
URI
http://hdl.handle.net/20.500.11750/3723
DOI
10.1145/2811411.2811486
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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