Taxi Detection Based on the Sliding Color Histogram Matching

被引：0
|
作者：
Huang, Xunping [1 ,3 ,4 ,5 ]
Zhang, Ridong [1 ,3 ,4 ,5 ]
Jia, Kebin [1 ,3 ,4 ,5 ]
Wang, Zuyun [2 ]
Nie, Wenzhen [1 ,3 ,4 ,5 ]
机构：
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[2] Traff Execut BR Gade Beijing, Beijing, Peoples R China
[3] Beijing Lab Adv Informat Networks, Beijing 100124, Peoples R China
[4] Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
[5] Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing, Peoples R China
来源：
2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC) | 2018年
基金：
北京市自然科学基金; 中国国家自然科学基金; 中国博士后科学基金;
关键词：
Adaboost; Haar feature; taxi window area; histogram matching;
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：
The Adaboost vehicle detection algorithm based on Haar feature has a good performance in real-time and accuracy. However, the method has a lot of omission and error detection in the detection of Special vehicle under complicated traffic flow. In this paper, a method of taxi window area detection is proposed to replace vehicle detection. At the same time, a method of sliding color histogram matching is proposed to reduce the error detection. Finally, the traffic surveillance video is used to verify the algorithm, Detection results proves that the algorithm has a good accuracy and real-time performance for the detection of taxi vehicles.
引用
收藏
页码：86 / 90
页数：5
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