Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Combination of Mean Shift of Colour Signature and Optical Flow for Tracking During Foreground and Background Occlusion

      Hedayati, Mohammad; Cree, Michael J.; Scott, Jonathan B.
      Thumbnail
      Files
      psivt15-hedi-paper-final.pdf
      Accepted version, 914.7Kb
      DOI
       10.1007/978-3-319-29451-3
      Find in your library  
      Citation
      Export citation
      Hedayati, M., Cree, M. J., & Scott, J. B. (2015). Combination of Mean Shift of Colour Signature and Optical Flow for Tracking During Foreground and Background Occlusion (pp. 1–12). Presented at the 7th Pacific Rim Symposium on Image and Video Technology, Auckland, New Zealand.
      Permanent Research Commons link: https://hdl.handle.net/10289/9786
      Abstract
      This paper proposes a multiple hypothesis tracking for multiple object tracking with moving camera. The proposed model makes use of the stability of sparse optical flow along with the invariant colour property under size and pose variation, by merging the colour property of objects into optical flow tracking. To evaluate the algorithm five different videos are selected from broadcast horse races where each video represents different challenges that present in object tracking literature. A comparison study of the proposed method, with a colour based mean shift tracking proves the significant improvement in accuracy and stability of object tracking.
      Date
      2015
      Type
      Conference Contribution
      Publisher
      Springer
      Rights
      This is an author’s accepted version of an article presented at 7th Pacific Rim Symposium on Image and Video Technology.
      Collections
      • Science and Engineering Papers [3124]
      Show full item record  

      Usage

      Downloads, last 12 months
      75
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement