A pedestrian detection system with weak classifiers

A pedestrian detection system with weak classifiers

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 di...

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Bibliographic Details
Published in:2013 21st Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4
Main Authors: Tetik, Y. E., Bolat, B.
Format: Conference Proceeding
Language:English
Turkish
Published: IEEE 01-04-2013
Subjects:
Abstracts
adaboost
Boosting
Computer vision
Computers
Conferences
Digital images
Pattern recognition
pedestrian detection system
rectangle differences
rectangle ratios
sliding window approach
weak classifiers
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Description
Summary: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.
ISBN:9781467355629
1467355623
DOI:10.1109/SIU.2013.6531357