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Structural Similarity-Based Object Tracking in Video Sequence

By A. Loza, L. Mihaylova, N. Canagarajah and D. Bull

Abstract

This paper addresses the problem of object tracking in video sequences. The use of a structural similarity measure for tracking is proposed. The measure reflects the distance between two images by comparing their structural and spatial characteristics and has shown to be robust to illumination and contrast changes. As a result it guarantees robustness of the tracking process under changes in the environment. The previously used Bhattacharyya distance is not robust to such changes. Additionally, when a tracker is run with the Bhattacharyya distance, histograms should be calculated in order to find the likelihood function of the measurements. With the new function there is no need to calculate histograms. A particle filter (PF) is implemented where this measure is used for computing the distance between the reference and current frame. The algorithm performance has been tested and evaluated over real-world video sequences, and has been shown to outperform methods based on colour and edge histograms

Year: 2006
OAI identifier: oai:eprints.lancs.ac.uk:4375
Provided by: Lancaster E-Prints

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Citations

  1. (2003). A new quality metric for image fusion. doi
  2. (2001). Estimation with Applications to Tracking and Navigation. doi
  3. (2004). Image quality assessment: from error visibility to structural similarity. doi
  4. (2003). Kernelbased object tracking. doi
  5. Methods of fused image analysis and assessment. doi
  6. (2005). Particle filtering with multiple cues for object tracking in video sequences. doi
  7. (1998). Sequential Monte Carlo methods for dynamic systems. doi
  8. (2003). Statistical Pattern Recognition. doi
  9. (2004). Target Tracking Movie Demos.
  10. (1997). The Bhattacharyya metric as an absolute similarity measure for frequentcy coded data.
  11. (2001). The Unscented Kalman filter. doi

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