Temporal templates for detecting the trajectories of moving vehicles

In this study, we deal with the problem of detecting the trajectories of moving vehicles. We introduce a method, based on the spatio-temporal connectivity analysis, to extract the vehicles trajectories from temporal templates, spanned over a short period of time. Temporal templates are conformed with the successive images differences. The trajectories are computed using the centers of the blobs in the temporal template. A Kalman filter for a constant value with emphasis in the measurement uncertainty is used to smooth the result. The algorithm is tested extensively using a sequence took from tower overlooking a vehicular intersection. Our approach allow us to detect the vehicles trajectories without the need to construct a background model or using a sophisticated tracking strategy for the moving objects. Our experiments show that the scheme we propose is reliable, and fast.