Viewpoint independent vehicle speed estimation from uncalibrated traffic surveillance cameras
Haili Mao, Chengxi Ye, Mingli Song, Jiajun Bu, Na Li · 2009
We present here a prototype of an algorithm for vehicle speed estimation. Different from previous approaches, our algorithm requires no road markers and fewer manual calibrations. Based on specific projection rules, we find a relation between the in-camera coordinate and the real world coordinate. A non-linear regression is employed to estimate the model parameters. This model enables us to estimate the real world position of the vehicles directly from a video sequence taken by a surveillance camera. The algorithm shows its ability to produce accurate estimations in our experiments.