A Traffic Flow Detection System Combining Optical Flow and Shadow Removal
会议名称：《2011 Third Chinese Conference on Intelligent Visual Surveillance》
会议日期：2011年
学科分类：0810[工学-信息与通信工程] 08[工学] 080203[工学-机械设计及理论] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0835[工学-软件工程] 0802[工学-机械工程] 081002[工学-信号与信息处理]
基 金：funded by the National Basic Research Program of China(No.2010CB327902) the National NaturalScience Foundation of China(No.60873158,No.61005016,No.61061130560) the Fundamental Research Funds forthe Central Universities
摘 要：Traffic flow detection plays an important role in Intelligent Transportation Systems（ITS）.Video based traffic flow detection system is the most widely used strategy in *** this circumstance,we design and implement a video based traffic flow detection system which is called MyTD in this *** takes advantages of both shadow removal and optical flow ***,we introduce the current development of ITS and focus on the video based traffic detection technology,which is the key to ***,a shadow removal algorithm combining information in both RGB and HSV color spaces is ***,based on the Iterative Pyramidal LK Optical Flow Algorithm,a vehicle tracking function is realized by OpenCV,as well as a Connected Components Labeling function and the vehicle counting ***,MyTD is implemented and tested based on the algorithm presented *** results show the outstanding performance of our method comparing with traditional optical flow algorithms.