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Improved data association and occlusion handling for vision-based people tracking by mobile robots

By Grzegorz Cielniak, Tom Duckett and J. Achim Lilienthal

Abstract

This paper presents an approach for tracking multiple persons using a combination of colour and thermal vision sensors on a mobile robot. First, an adaptive colour model is incorporated into the measurement model of the tracker. Second, a new approach for detecting occlusions is introduced, using a machine learning classifier for pairwise comparison of persons (classifying which one is in front of the other). Third, explicit occlusion handling is then incorporated into the tracker

Topics: H670 Robotics and Cybernetics, H671 Robotics, G740 Computer Vision
Publisher: IEEE
Year: 2007
DOI identifier: 10.1016/j.robot.2006.04.013
OAI identifier: oai:eprints.lincoln.ac.uk:1848

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  1. (1995). A decision-theoretic generalization of on-line learning and an application to boosting,” doi
  2. (2004). An MCMC-based particle filter for tracking multiple interacting targets,” in doi
  3. (1991). Color indexing,” doi
  4. (1998). Condensation – conditional density propagation for visual tracking,” doi
  5. (2005). Evaluating multi-object tracking,” doi
  6. (2004). Face tracking and hand gesture recognition for human-robot interaction,” in doi
  7. (2005). Kr¨ ose, “Keeping track of humans: have i seen this person before?” in doi
  8. (2001). Monte Carlo data association for multiple target tracking,” in doi
  9. (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation,” doi
  10. (2007). People tracking by mobile robots using thermal and colour vision,” doi
  11. (2001). Rapid object detection using a boosted cascade of simple features,” in doi
  12. (2006). Real-time people tracking for mobile robots using thermal vision,” doi
  13. (2002). Sensor fusion for vision and sonar based people tracking on a mobile service robot,”
  14. (1995). Similarity of color images,” doi
  15. (2000). Tools and techniques for video performance evaluation,” in doi
  16. (2001). Tracking multiple moving objects with a mobile robot,” in doi

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