Real-time moving vehicle detection, tracking, and counting system implemented with OpenCV

Moving vehicle detection, tracking, and counting are very critical for traffic flow monitoring, planning, and controlling. Video-based solution, comparing to other techniques, does not disturb traffic flow and is easily installed. By analyzing the traffic video sequence recorded from a video camera, this paper presents a video-based solution applied with adaptive subtracted background technology in combination with virtual detector and blob tracking technologies. Experimental results, implemented in Visual C++ code with OpenCV development kits, indicate that the proposed method can detect, track, and count moving vehicles accurately.