Francisco Madrigal

Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes

We propose a methodology for learning and using a multiple-goal probabilistic motion model within a particle filter-based target tracking on video streams. In a set of training video sequences, we first extract the locations (coined as “goals”) where the pedestrians either leave the scene or often c…