Speaker tracking in seminars by human body detection

Authors:
Bo Wu;Vivek Kumar Singh;Ram Nevatia;Chi-Wei Chu
Affiliations:
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA;University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA;University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA;University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA
Venue:
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Year:
2006

Citing 2
Cited 2

Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1

Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors

International Journal of Computer Vision
Audiovisual head orientation estimation with particle filtering in multisensor scenarios

EURASIP Journal on Advances in Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents evaluation results of a method for tracking speakers in seminars from multiple cameras. First, 2D human tracking and detection is done for each view. Then, 2D locations are converted to 3D based on the calibration parameters. Finally, cues from multiple cameras are integrated in a incremental way to refine the trajectories. We have developed two multi-view integration methods, which are evaluated and compared on the CHIL speaker tracking test set.