Multicamera People Tracking with a Probabilistic Occupancy Map
Top Cited Papers
- 18 December 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Ieee Transactions On Pattern Analysis and Machine Intelligence
- Vol. 30 (2), 267-282
- https://doi.org/10.1109/tpami.2007.1174
Abstract
Given two to four synchronized video streams taken at eye level and from different angles, we show that we can effectively combine a generative model with dynamic programming to accurately follow up to six individuals across thousands of frames in spite of significant occlusions and lighting changes. In addition, we also derive metrically accurate trajectories for each of them. Our contribution is twofold. First, we demonstrate that our generative model can effectively handle occlusions in each time frame independently, even when the only data available comes from the output of a simple background subtraction algorithm and when the number of individuals is unknown a priori. Second, we show that multiperson tracking can be reliably achieved by processing individual trajectories separately over long sequences, provided that a reasonable heuristic is used to rank these individuals and that we avoid confusing them with one another.Keywords
This publication has 19 references indexed in Scilit:
- Using Particles to Track Varying Numbers of Interacting PeoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Fixed point probability field for complex occlusion handlingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Mean-shift blob tracking through scale spacePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Image analysis for video surveillance based on spatial regularization of a statistical model-based change detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Counting people in crowds with a real-time network of simple image sensorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Multi-camera calibration, object tracking and query generationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Automatic tracking of human motion in indoor scenes across multiple synchronized video streamsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking peoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Real-time tracking of non-rigid objects using mean shiftPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Bayesian computer vision system for modeling human interactionsIeee Transactions On Pattern Analysis and Machine Intelligence, 2000