A novel video based system for detecting and counting vehicles at user-defined virtual loops ?
We present a system for detecting and counting vehicles in urban traffic videos. The detected and tracked vehicles are counted at user defined virtual loops. A background model is defined using Mixtures of Gaussians and Motion Energy Images. Vehicle detection and tracking relies on a flexible particle clustering scheme. The method potentially can be reliable based on experiments and method comparisons.
particle clustering vehicle counting vehicle tracking particle filtering computer vision video processing