A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video

摘要

Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bayesian approach to find correspondences between moving objects over frames. B