Vehicle Classification by Road Lane Detection and Model Fitting Using a Surveillance Camera
作者： Wook-Sun Shin , Doo-Heon Song , Chang-Hun Lee
DOI: 10.3745/JIPS.2006.2.1.052
关键词:
摘要: One of the important functions an Intelligent Transportation System (ITS) is to classify vehicle types using a vision system. We propose method machine-learning algorithms for this classification problem with 3-D object model fitting. It also necessary detect road lanes from fixed traffic surveillance camera in preparation apply background mask and line analysis algorithm based on statistical measures Hough Transform (HT) order remove noise false positive lanes. The results show that quite efficient terms quality.
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