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http://dx.doi.org/10.5391/JKIIS.2010.20.5.631

Pedestrians Action Interpretation based on CUDA for Traffic Signal Control  

Lee, Hong-Chang (경남대학교 컴퓨터공학부)
Rhee, Sang-Yong (경남대학교 컴퓨터공학부)
Kim, Young-Baek (경남대학교 컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.5, 2010 , pp. 631-637 More about this Journal
Abstract
In this paper, We propose a method of motion interpretation of pedestrian for active traffic signal control. We detect pedestrian object in a movie of crosswalk area by using the code book method and acquire contour information. To do this stage fast, we use parallel processing based on CUDA (Compute Unified Device Architecture). And we remove shadow which causes shape distortion of objects. Shadow removed object is judged by using the hilbert scan distance whether to human or noise. If the objects are judged as a human, we analyze pedestrian objects' motion, face area feature, waiting time to decide that they have intetion to across a crosswalk for pdestrians. Traffic signal can be controlled after judgement.
Keywords
Action Interpretation; Pedestrian Detection; Hilbert Distance; CUDA; Traffic Signal Control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Li TIAN, et al, “A Fast and Accurate Algorithm for Matching Images Using Hilbert Scanning Distance with Threshold Elimination Function,” IEICE INF.&SYST, vol.89, pp. 209-297, 2006.
2 Bongki Moon, H.V. Jagadish, Christos Faloutsos, etal, “Analysis of the Clustering Properties of the Hilbert Space-Filling Curve,” IEEE Transactions on Knowledge and Data Engineering, vol.13, no.1, pp. 124-141, Jan/Fed 2001.   DOI
3 윤재홍, 지윤강 “영상에서 객체 추출을 통한 적응형 통행 우선순위 교통신호 제어 시뮬레이션,” 한국멀티미디어학회 논문지, 제11권, 8호, pp. 1051-1058, 2008.   과학기술학회마을
4 김철기, 강이철, 차의영, “횡단보도 신호제어를 위한 보행자 추적,” 한국멀티미디어학회 춘계학술발표논문집, 제2권, 1호, pp.391-396, 1999.
5 K. Kim, T. H. Chalidabhonge, D. Harwood, L. Davis. “Real-time foreground-background segmentation unsing codebook model,” Elsevier Real-Time Imaging, vol. 11, pp. 172-185, 2005.   DOI
6 Mohamad Hoseyn Sigari, and Mahmood Fathy, “Real-time Background Modeling Subtraction using Two-Layer Codebook Model,” International Multi Confernece of Engineers and Computer Scientists, vol. 1, March 2008.
7 Yongbin Li, Feng Chen, Wenli Xu, and Youtian Du, “Gaussian-Based Codebook Model for Video Background Subtraction,” Lecture Notes in Computer Science, pp. 762-765, September 2006.