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.
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© 2007 Springer Berlin Heidelberg
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Wu, B., Singh, V.K., Nevatia, R., Chu, CW. (2007). Speaker Tracking in Seminars by Human Body Detection. In: Stiefelhagen, R., Garofolo, J. (eds) Multimodal Technologies for Perception of Humans. CLEAR 2006. Lecture Notes in Computer Science, vol 4122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69568-4_8
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DOI: https://doi.org/10.1007/978-3-540-69568-4_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69567-7
Online ISBN: 978-3-540-69568-4
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