A robust, precise and flexible tracking algorithm based on IMS and SWAD

G. Di Caterina; J. J. Soraghan

doi:10.1109/ICASSP.2014.6854874

A robust, precise and flexible tracking algorithm based on IMS and SWAD

G. Di Caterina, J. J. Soraghan

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

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Abstract

The improved mean shift (IMS) algorithm can effectively track a colour target undergoing fast motion and complete occlusion. Instead template matching based on the sum of weighted absolute differences (SWAD) can track a target precisely, even under partial occlusion. To take advantage of both trackers, this paper presents a novel tracking algorithm that, on one side, further improves the IMS and extends it to a more general and flexible framework; on the other side, the proposed algorithm incorporates SWAD minimisation to increase the precision of the tracking results. Experimental results demonstrate that such an algorithm can robustly and precisely track targets with fast motion and in complete occlusion, more than conventional mean shift, IMS and SWAD-based trackers taken separately.

Original language	English
Title of host publication	2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	6588-6592
Number of pages	5
ISBN (Print)	9781479928927
DOIs	https://doi.org/10.1109/ICASSP.2014.6854874
Publication status	Published - 2014
Event	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, United Kingdom Duration: 4 May 2014 → 9 May 2014

Conference

Conference	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/Territory	United Kingdom
City	Florence
Period	4/05/14 → 9/05/14

Keywords

improved mean shift
sum of weighted absolute differences
visual tracking

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10.1109/ICASSP.2014.6854874

DiCaterina-Soraghan-ICASSP2014-flexible-tracking-algorithm-based-on-ims-and-swadAccepted author manuscript, 196 KB

Cite this

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title = "A robust, precise and flexible tracking algorithm based on IMS and SWAD",

abstract = "The improved mean shift (IMS) algorithm can effectively track a colour target undergoing fast motion and complete occlusion. Instead template matching based on the sum of weighted absolute differences (SWAD) can track a target precisely, even under partial occlusion. To take advantage of both trackers, this paper presents a novel tracking algorithm that, on one side, further improves the IMS and extends it to a more general and flexible framework; on the other side, the proposed algorithm incorporates SWAD minimisation to increase the precision of the tracking results. Experimental results demonstrate that such an algorithm can robustly and precisely track targets with fast motion and in complete occlusion, more than conventional mean shift, IMS and SWAD-based trackers taken separately.",

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author = "{Di Caterina}, G. and Soraghan, {J. J.}",

note = "{\textcopyright} 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",

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doi = "10.1109/ICASSP.2014.6854874",

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Di Caterina, G & Soraghan, JJ 2014, A robust, precise and flexible tracking algorithm based on IMS and SWAD. in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)., 6854874, IEEE, Piscataway, NJ, pp. 6588-6592, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, United Kingdom, 4/05/14. https://doi.org/10.1109/ICASSP.2014.6854874

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N1 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2014

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N2 - The improved mean shift (IMS) algorithm can effectively track a colour target undergoing fast motion and complete occlusion. Instead template matching based on the sum of weighted absolute differences (SWAD) can track a target precisely, even under partial occlusion. To take advantage of both trackers, this paper presents a novel tracking algorithm that, on one side, further improves the IMS and extends it to a more general and flexible framework; on the other side, the proposed algorithm incorporates SWAD minimisation to increase the precision of the tracking results. Experimental results demonstrate that such an algorithm can robustly and precisely track targets with fast motion and in complete occlusion, more than conventional mean shift, IMS and SWAD-based trackers taken separately.

AB - The improved mean shift (IMS) algorithm can effectively track a colour target undergoing fast motion and complete occlusion. Instead template matching based on the sum of weighted absolute differences (SWAD) can track a target precisely, even under partial occlusion. To take advantage of both trackers, this paper presents a novel tracking algorithm that, on one side, further improves the IMS and extends it to a more general and flexible framework; on the other side, the proposed algorithm incorporates SWAD minimisation to increase the precision of the tracking results. Experimental results demonstrate that such an algorithm can robustly and precisely track targets with fast motion and in complete occlusion, more than conventional mean shift, IMS and SWAD-based trackers taken separately.

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Y2 - 4 May 2014 through 9 May 2014

ER -

A robust, precise and flexible tracking algorithm based on IMS and SWAD

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