Human detection and tracking through temporal feature recognition

Fraser K. Coutts, Stephen Marshall, Paul Murray

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
42 Downloads (Pure)


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.
Original languageEnglish
Title of host publication2014 22nd European Signal Processing Conference (EUSIPCO)
Number of pages5
ISBN (Print)9780992862619
Publication statusPublished - 1 Sept 2014
Event22nd European Signal Processing Conference - Lisbon Congress Centre, Lisbon, Portugal
Duration: 1 Sept 20145 Sept 2014
Conference number: 2014


Conference22nd European Signal Processing Conference
Abbreviated titleEUSIPCO


  • automated human tracking
  • thermal video
  • temporal characteristic recognition
  • human detection
  • video signal processing
  • feature extraction
  • object detection
  • object tracking
  • spatial tracking methods
  • person specific time varying signatures


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