TY - GEN
T1 - Real-time pedestrian detection using support vector machines
AU - Kang, Seonghoon
AU - Byun, Hyeran
AU - Lee, Seong Whan
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=23044533853&partnerID=8YFLogxK
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U2 - 10.1007/3-540-45665-1_21
DO - 10.1007/3-540-45665-1_21
M3 - Conference contribution
AN - SCOPUS:23044533853
SN - 354044016X
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 268
EP - 277
BT - Pattern Recognition with Support Vector Machines - First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings
A2 - Lee, Seong-Whan
A2 - Verri, Alessandro
PB - Springer Verlag
T2 - 1st International Workshop on Pattern Recognition with Support Vector Machines, SVM 2002
Y2 - 10 August 2002 through 10 August 2002
ER -