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Optical Engineering

Stereo system based on a graphics processing unit for pedestrian detection and tracking
Author(s): Bodam Nam; Sungil Kang; Hyunki Hong; Changkyoung Eem
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Paper Abstract

This paper presents a novel stereo system, based on a graphics processing unit (GPU), for pedestrian detection in real images. The process of obtaining a dense disparity map and the edge properties of the scene to extract a region of interest (ROI) is designed on a GPU for real-time applications. After extracting the histograms of the oriented gradients on the ROIs, a support vector machine classifies them as pedestrian and nonpedestrian types. The system employs the recognition-by-components method, which compensates for the pose and articulation changes of pedestrians. In order to effectively track spatial pedestrian estimates over sequences, subwindows at distinctive parts of human beings are used as measurements for the Kalman filter.

Paper Details

Date Published: 1 December 2010
PDF: 9 pages
Opt. Eng. 49(12) 127203 doi: 10.1117/1.3521254
Published in: Optical Engineering Volume 49, Issue 12
Show Author Affiliations
Bodam Nam, Chung-Ang Univ. (Korea, Republic of)
Sungil Kang, Chung-Ang Univ. (Korea, Republic of)
Hyunki Hong, Chung-Ang Univ. (Korea, Republic of)
Changkyoung Eem, KAIST (Korea, Republic of)


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