A Pedestrian Detection System With Weak Classifiers

被引：0
|
作者：
Tetik, Yusuf Engin [1 ]
Bolat, Bulent [1 ]
机构：
[1] Yildiz Tekn Univ, Multimedya Sinyal Anal Lab, Istanbul, Turkey
来源：
2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年
关键词：
pedestrian detection system; sliding window approach; weak classifiers; adaboost; rectangle differences; rectangle ratios;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：4
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