Taxi Detection Based on the Sliding Color Histogram Matching

Abstract

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.