There are two main contributions in this paper. The first is to propose a joint random

field (JRF) model that extends CRF by introducing auxiliary latent variables to

characterize visual scene over time and enhance moving object detection in video. The

second is to develop a real-time vehicle detection algorithm for video based traffic

monitoring. The proposed model integrates contextual constraints among both detection

labels and hidden variables during the detection process.