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Fast Pedestrian Recognition Based on Multisensor Fusion.

Authors :
Hongyu Hu
Zhaowei Qu
Zhihui Li
Jinhui Hu
Fulu Wei
Source :
Discrete Dynamics in Nature & Society. 2012, Special section p1-14. 14p. 6 Color Photographs, 5 Diagrams, 1 Chart, 1 Graph.
Publication Year :
2012

Abstract

A fast pedestrian recognition algorithm based on multisensor fusion is presented in this paper. Firstly, potential pedestrian locations are estimated by laser radar scanning in the world coordinates, and then their corresponding candidate regions in the image are located by camera calibration and the perspective mapping model. For avoiding time consuming in the training and recognition process caused by large numbers of feature vector dimensions, region of interest-based integral histograms of oriented gradients (ROI-IHOG) feature extraction method is proposed later. A support vector machine (SVM) classifier is trained by a novel pedestrian sample dataset which adapt to the urban road environment for online recognition. Finally, we test the validity of the proposed approach with several video sequences from realistic urban road scenarios. Reliable and timewise performances are shown based on our multisensor fusing method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10260226
Database :
Academic Search Index
Journal :
Discrete Dynamics in Nature & Society
Publication Type :
Academic Journal
Accession number :
85950930
Full Text :
https://doi.org/10.1155/2012/318305