Real-time pedestrian detection using support vector machines

Seonghoon Kang; Hyeran Byun; Seong Whan Lee

doi:10.1007/3-540-45665-1_21

Real-time pedestrian detection using support vector machines

Seonghoon Kang, Hyeran Byun, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

In this paper, we present a real-time pedestrian detection system in outdoor environments. It is necessary for pedestrian detection to implement obstacle and face detection which are major parts of a walking guidance system. It can discriminate pedestrian from obstacles, and extract candidate regions for face detection and recognition. For pedestrian detection, we have used stereo-based segmentation and SVM (Support Vector Machines), which has superior classification performance in binary classification case (e. g. object detection). We have used vertical edges, which can extracted from arms, legs, and the body of pedestrians, as features for training and detection. The experiments on a large number of street scenes demonstrate the effectiveness of the proposed for pedestrian detection system.

Original language	English
Title of host publication	Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings
Editors	Seong-Whan Lee, Alessandro Verri
Publisher	Springer Verlag
Pages	268-277
Number of pages	10
ISBN (Print)	354044016X
DOIs	https://doi.org/10.1007/3-540-45665-1_21
Publication status	Published - 2002
Event	1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002 - Niagara Falls, Canada Duration: 2002 Aug 10 → 2002 Aug 10

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2388
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002
Country/Territory	Canada
City	Niagara Falls
Period	02/8/10 → 02/8/10

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45665-1_21

Cite this

Kang, S., Byun, H., & Lee, S. W. (2002). Real-time pedestrian detection using support vector machines. In S.-W. Lee, & A. Verri (Eds.), Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings (pp. 268-277). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2388). Springer Verlag. https://doi.org/10.1007/3-540-45665-1_21

Real-time pedestrian detection using support vector machines. / Kang, Seonghoon; Byun, Hyeran; Lee, Seong Whan.
Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings. ed. / Seong-Whan Lee; Alessandro Verri. Springer Verlag, 2002. p. 268-277 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2388).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kang, S, Byun, H & Lee, SW 2002, Real-time pedestrian detection using support vector machines. in S-W Lee & A Verri (eds), Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2388, Springer Verlag, pp. 268-277, 1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002, Niagara Falls, Canada, 02/8/10. https://doi.org/10.1007/3-540-45665-1_21

Kang S, Byun H, Lee SW. Real-time pedestrian detection using support vector machines. In Lee SW, Verri A, editors, Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings. Springer Verlag. 2002. p. 268-277. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45665-1_21

Kang, Seonghoon ; Byun, Hyeran ; Lee, Seong Whan. / Real-time pedestrian detection using support vector machines. Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings. editor / Seong-Whan Lee ; Alessandro Verri. Springer Verlag, 2002. pp. 268-277 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Real-time pedestrian detection using support vector machines

Abstract

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