DocumentCode
607696
Title
A pedestrian detection system with weak classifiers
Author
Tetik, Y.E. ; Bolat, B.
Author_Institution
Multimedya Sinyal Analiz Laboratuari, Yildiz Teknik Univ., İstanbul, Turkey
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
Abstract
In this paper, a pedestrian detection system which uses sliding window approach to detect pedestrians in still digital images is presented. The proposed pedestrian detection system combines weak classifiers in an Adaboost like novel way to create a strong classifier. Besides, rectangle ratios and discrete cosine transform coefficients are used as features with the well-known rectangle differences method.
Keywords
discrete cosine transforms; image classification; object detection; pedestrians; digital image; discrete cosine transform coefficient; pedestrian detection system; rectangle difference method; rectangle ratio; sliding window; weak classifier; Abstracts; Boosting; Computer vision; Computers; Conferences; Digital images; Pattern recognition; adaboost; pedestrian detection system; rectangle differences; rectangle ratios; sliding window approach; weak classifiers;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location
Haspolat
Print_ISBN
978-1-4673-5562-9
Electronic_ISBN
978-1-4673-5561-2
Type
conf
DOI
10.1109/SIU.2013.6531357
Filename
6531357
Link To Document