A Robust Real-Time Computer System for Automatic Target Tracking

Abstract

A novel system for long term tracking of object in video is built on tracking learning and detection (TLD) approach. This framework explicitly decomposes the long term tracking task in to tracking, learning and detection. The tracker follows the object from frame to frame. The detector localize all appearance that have been observed so far an =d correct the tracker if necessary. The learning estimates the detector’s errors and corrects it. This is real time implementation of TLD framework and PN learning. It is an extensive quantitative evolution which shows significant improvement over state of the art approaches.

Authors and Affiliations

Amrita Raut, U. S. Pacharaney, Dr. D. J Pete

Keywords

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  • EP ID EP27780
  • DOI -
  • Views 253
  • Downloads 1

How To Cite

Amrita Raut, U. S. Pacharaney, Dr. D. J Pete (2013). A Robust Real-Time Computer System for Automatic Target Tracking. International Journal of Research in Computer and Communication Technology, 2(12), -. https://europub.co.uk/articles/-A-27780