Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
- 10 July 2006
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 951-958
- https://doi.org/10.1109/cvpr.2006.312
Abstract
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an approach based on representing humans as an assembly of four body parts and detection of the body parts in single frames which makes the method insensitive to camera motions. The responses of the body part detectors and a combined human detector provide the "observations" used for tracking. Trajectory initialization and termination are both fully automatic and rely on the confidences computed from the detection responses. An object is tracked by data association if its corresponding detection response can be found; otherwise it is tracked by a meanshift style tracker. Our method can track humans with both inter-object and scene occlusions. The system is evaluated on three sets of videos and compared with previous method.Keywords
This publication has 11 references indexed in Scilit:
- Unsupervised Bayesian Detection of Independent Motion in CrowdsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Rapid object detection using a boosted cascade of simple featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Using Particles to Track Varying Numbers of Interacting PeoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Pedestrian Detection in Crowded ScenesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Tracking loose-limbed peoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- BraMBLe: a Bayesian multiple-blob trackerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The variable bandwidth mean shift and data-driven scale selectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tracking humans from a moving platformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Example-based object detection in images by componentsIeee Transactions On Pattern Analysis and Machine Intelligence, 2001