An extended Real-Time Compressive Tracking Method using weighted multi-frame Cosine Similarity Metric

Mark David Jenkins, Peter Barrie, Thomas Buggy, Gordon Morison

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

This paper presents an extended algorithm for Real-time Compressive Tracking using Cosine Similarity Metric for object tracking. The method utilises a weighted multi-frame cosine similarity metric with the ground truth bounding box and a recently computed target bounding box. In comparison to the original algorithm it is capable of handling fast motion with a greater degree of accuracy. The proposed algorithm has been benchmarked on a desktop computer and subsequently implemented on a Texas Instruments ARM based DM3730 Beagleboard-xM. The proposed algorithm demonstrates a significant performance increase in fast motion video sequences. In addition, the low computational complexity of the algorithm makes it well suited for embedded applications.
Original languageEnglish
Title of host publicationEducation and Research Conference (EDERC), 2014 6th European Embedded Design in
PublisherIEEE
Pages147-151
Number of pages5
ISBN (Print)9781479968411
DOIs
Publication statusPublished - 11 Sep 2014

Keywords

  • extended algorithm
  • real time compressive tracking
  • cosine similarity metric
  • fast motion video sequence

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    Jenkins, M. D., Barrie, P., Buggy, T., & Morison, G. (2014). An extended Real-Time Compressive Tracking Method using weighted multi-frame Cosine Similarity Metric. In Education and Research Conference (EDERC), 2014 6th European Embedded Design in (pp. 147-151). IEEE. https://doi.org/10.1109/EDERC.2014.6924377