Human detection and tracking through temporal feature recognition

Coutts, Fraser K. and Marshall, Stephen and Murray, Paul; (2014) Human detection and tracking through temporal feature recognition. In: 2014 22nd European Signal Processing Conference (EUSIPCO). IEEE, PRT, pp. 2180-2184. ISBN 9780992862619 (https://ieeexplore.ieee.org/xpl/articleDetails.jsp...)

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Abstract

The ability to accurately track objects of interest – particularly humans – is of great importance in the fields of security and surveillance. In such scenarios, t he application of accurate, automated human tracking offers benefits over manual supervision. In this paper, recent efforts made to investigate the improvement of automated human detection and tracking techniques through the recognition of person-specific time-varying signatures in thermal video are detailed. A robust human detection algorithm is developed to aid the initialisation stage of a state-of-the art existing tracking algorithm. In addition, coupled with the spatial tracking methods present in this algorithm, the inclusion of temporal signature recognition in the tracking process is shown to improve human tracking results.

ORCID iDs

Coutts, Fraser K. ORCID logoORCID: https://orcid.org/0000-0003-2299-2648, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628 and Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276;
  • Item type:Book Section
    ID code:57374
    Dates:
    Date
    Event
    1 September 2014
    Published
    28 May 2014
    Accepted
    Notes:(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:11 Aug 2016 13:28
    Last modified:11 Nov 2024 15:06
    URI:https://strathprints.strath.ac.uk/id/eprint/57374
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