Performance Evaluation of Multi-camera Visual Tracking

Lucio Marcenaro, Pietro Morerio, Carlo S. Regazzoni
2012 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance  
This work addresses the problem of people counting in crowded situations, such as urban environments, in computer vision. As crowding density increases in a scene, it might become impossible to count people as single individuals: a global group-based approach is then preferable and in fact often necessary. A simple method for estimating the count of people in such tight crowds is here proposed, relying on accurate camera calibration. A training phase is also needed by the algorithm in order to
more » ... orithm in order to learn the parameters needed for estimation.
doi:10.1109/avss.2012.86 dblp:conf/avss/MarcenaroMR12 fatcat:e3oir7ke4bgmhj5qc2noewiuqu