A robust, precise and flexible tracking algorithm based on IMS and SWAD
Di Caterina, G. and Soraghan, J. J.; (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). IEEE, GBR, pp. 6588-6592. ISBN 9781479928927 (https://doi.org/10.1109/ICASSP.2014.6854874)
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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.
ORCID iDs
Di Caterina, G. ORCID: https://orcid.org/0000-0002-7256-0897 and Soraghan, J. J. ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Book Section ID code: 51248 Dates: DateEvent2014PublishedNotes: © 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. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 26 Jan 2015 12:15 Last modified: 11 Nov 2024 14:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/51248