Comparison of Fusion Methods for Thermo-Visual Surveillance Tracking

Comparison of Fusion Methods for Thermo-Visual Surveillance Tracking

In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combine information from standard CCTV and thermal infrared spectrum video for the tracking of surveillance objects, such as people, faces, bicycles and vehicles. We show results on numerous real world mul...

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Bibliographische Detailangaben
Hauptverfasser: Conaire, C.O., O'Connor, N.E., Cooke, E., Smeaton, A.F.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bayesian methods
Bicycles
Fuses
Fusion
Infrared detectors
Infrared spectra
Infrared surveillance
Robustness
Sensor systems
Streaming media
Surveillance
Thermal Infrared
Tracking
Vehicles
Visible Spectrum
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Beschreibung
Zusammenfassung:In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combine information from standard CCTV and thermal infrared spectrum video for the tracking of surveillance objects, such as people, faces, bicycles and vehicles. We show results on numerous real world multimodal surveillance sequences, tracking challenging objects whose appearance changes rapidly. Based on these results we can determine the most promising fusion schemes
DOI:10.1109/ICIF.2006.301618