Title :
A New Method for Quick Daytime Vehicle Identification and Contour Extraction
Author :
Liu, Guilin ; Wu, Xinyu ; Cheng, Zhe
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan, China
Abstract :
The camera of traffic system takes numerous photos every day. It´s critically important for judging kinds of car movements and intelligent transportation to pick up the outlines of automobiles and fix their positions. However, the popular car positioning algorithm is unable to reach the required fast speed in this field. In this paper we will provide readers with an algorithm to locate cars based on the time transformation difference and hierarchical clustering, which will provide technical support for intelligent transportation.
Keywords :
automobiles; cameras; feature extraction; image motion analysis; pattern clustering; traffic engineering computing; car movement; car positioning algorithm; contour extraction; hierarchical clustering; intelligent transportation; quick daytime vehicle identification; time transformation difference; traffic system; Clustering algorithms; Electronic mail; Monitoring; Object detection; Streaming media; Vehicles;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
DOI :
10.1109/CCPR.2010.5659199
