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Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking

Published: 01 January 2008 Publication History

Abstract

In this paper, two multimodal systems for the tracking of multiple users in smart environments are presented. The first is a multi-view particle filter tracker using foreground, color and special upper body detection and person region features. The other is a wide angle overhead view person tracker relying on foreground segmentation and model-based blob tracking. Both systems are completed by a joint probabilistic data association filter-based source localizer using the input from several microphone arrays. While the first system fuses audio and visual cues at the feature level, the second one incorporates them at the decision level using state-based heuristics.
The systems are designed to estimate the 3D scene locations of room occupants and are evaluated based on their precision in estimating person locations, their accuracy in recognizing person configurations and their ability to consistently keep track identities over time.
The trackers are extensively tested and compared, for each separate modality and for the combined modalities, on the CLEAR 2007 Evaluation Database.

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Cited By

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  • (2014)Multicamera fusion for online analysis of structured processesProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674455(1-7)Online publication date: 27-May-2014
  • (2014)Measuring Child Visual Attention using Markerless Head Tracking from Color and Depth Sensing CamerasProceedings of the 16th International Conference on Multimodal Interaction10.1145/2663204.2663235(447-454)Online publication date: 12-Nov-2014
  • (2011)Person tracking based on a hybrid neural probabilistic modelProceedings of the 21st international conference on Artificial neural networks - Volume Part II10.5555/2029604.2029651(365-372)Online publication date: 14-Jun-2011
  • Show More Cited By
  1. Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking

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      cover image Guide books
      Multimodal Technologies for Perception of Humans: International Evaluation Workshops CLEAR 2007 and RT 2007, Baltimore, MD, USA, May 8-11, 2007, Revised Selected Papers
      January 2008
      549 pages

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      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      Published: 01 January 2008

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      View all
      • (2014)Multicamera fusion for online analysis of structured processesProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674455(1-7)Online publication date: 27-May-2014
      • (2014)Measuring Child Visual Attention using Markerless Head Tracking from Color and Depth Sensing CamerasProceedings of the 16th International Conference on Multimodal Interaction10.1145/2663204.2663235(447-454)Online publication date: 12-Nov-2014
      • (2011)Person tracking based on a hybrid neural probabilistic modelProceedings of the 21st international conference on Artificial neural networks - Volume Part II10.5555/2029604.2029651(365-372)Online publication date: 14-Jun-2011
      • (2010)Towards high-level human activity recognition through computer vision and temporal logicProceedings of the 33rd annual German conference on Advances in artificial intelligence10.5555/1882150.1882206(426-435)Online publication date: 21-Sep-2010
      • (2008)Probabilistic integration of sparse audio-visual cues for identity trackingProceedings of the 16th ACM international conference on Multimedia10.1145/1459359.1459380(151-158)Online publication date: 26-Oct-2008

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