Real-time Pedestrian Detection in Urban Scenarios

被引：0
|
作者：
Varga, Robert [1 ]
Vesa, Andreea Valeria [1 ]
Jeong, Pangyu [1 ]
Nedevschi, Sergiu [1 ]
机构：
[1] Tech Univ Cluj Napoca, Cluj Napoca, Romania
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP) | 2014年
关键词：
Pedestrian detection; object recognition; region of interest selection; mobile devices; ORIENTED GRADIENTS; HISTOGRAMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A real-time pedestrian detection system is presented that runs at 24 fps on standard VGA resolution input images (640x480px) using only CPU processing. The detection algorithm uses a variable sized sliding window and intelligent simplifications such as a sparse scale space and fast candidate selection to obtain the desired speed. Details are provided about the initial version of the system ported on a mobile device. We also present a new labeled pedestrian dataset that was captured from a moving car that is suitable for training and testing pedestrian detection methods in urban scenarios.
引用
收藏
页码：113 / 118
页数：6
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