An Improved Pedestrian Detection Algorithm Integrating Haar-Like Features and HOG Descriptors
Joint Authors
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Considering the importance of pedestrian detection in a variety of applications such as advanced robots and intelligent surveillance systems, this paper presents an improved pedestrian detection method through integrating Haar-like features, AdaBoost algorithm, histogram of oriented gradients (HOG) descriptor, and support vector machine (SVM) classifiers, in which the head and shoulder information is utilized especially.
Due to the fast training speed of Haar-like features and the high detection efficiency of HOG features, the proposed method can classify pedestrians precisely with higher speed.
Experimental results validated the efficiency and effectiveness of the proposed algorithm.
American Psychological Association (APA)
Wei, Yun& Tian, Qing& Guo, Teng. 2013. An Improved Pedestrian Detection Algorithm Integrating Haar-Like Features and HOG Descriptors. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-480350
Modern Language Association (MLA)
Wei, Yun…[et al.]. An Improved Pedestrian Detection Algorithm Integrating Haar-Like Features and HOG Descriptors. Advances in Mechanical Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-480350
American Medical Association (AMA)
Wei, Yun& Tian, Qing& Guo, Teng. An Improved Pedestrian Detection Algorithm Integrating Haar-Like Features and HOG Descriptors. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-480350
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-480350