An extended real-time compressive tracking method using weighted multi-frame cosine similarity metric

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

doi:10.1109/EDERC.2014.6924377

An extended real-time compressive tracking method using weighted multi-frame cosine similarity metric

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

SCEBE School Office

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	2014 6th European Embedded Design in Education and Research Conference (EDERC)
Editors	John J. Soraghan, Gaetano Di Caterina, Djordje Marinkovic, Nuria Llin, Daniel Wicks
Publisher	IEEE
Pages	147-151
Number of pages	5
ISBN (Electronic)	9781479968435
ISBN (Print)	9781479968411
DOIs	https://doi.org/10.1109/EDERC.2014.6924377
Publication status	Published - 16 Oct 2014

Keywords

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

Documents and Links

10.1109/EDERC.2014.6924377

Cite this

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 J. J. Soraghan, G. Di Caterina, D. Marinkovic, N. Llin, & D. Wicks (Eds.), 2014 6th European Embedded Design in Education and Research Conference (EDERC) (pp. 147-151). IEEE. https://doi.org/10.1109/EDERC.2014.6924377

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An extended real-time compressive tracking method using weighted multi-frame cosine similarity metric. / Jenkins, Mark David; Barrie, Peter; Buggy, Thomas et al.
2014 6th European Embedded Design in Education and Research Conference (EDERC). ed. / John J. Soraghan; Gaetano Di Caterina; Djordje Marinkovic; Nuria Llin; Daniel Wicks. IEEE, 2014. p. 147-151.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - An extended real-time compressive tracking method using weighted multi-frame cosine similarity metric

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AU - Buggy, Thomas

AU - Morison, Gordon

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N2 - 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.

AB - 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.

KW - extended algorithm

KW - real time compressive tracking

KW - cosine similarity metric

KW - fast motion video sequence

U2 - 10.1109/EDERC.2014.6924377

DO - 10.1109/EDERC.2014.6924377

M3 - Chapter (peer-reviewed)

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BT - 2014 6th European Embedded Design in Education and Research Conference (EDERC)

A2 - Soraghan, John J.

A2 - Di Caterina, Gaetano

A2 - Marinkovic, Djordje

A2 - Llin, Nuria

A2 - Wicks, Daniel

PB - IEEE

ER -

An extended real-time compressive tracking method using weighted multi-frame cosine similarity metric

Abstract

Keywords

Documents and Links

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