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Sensors 2013, 13(1), 241-273; doi:10.3390/s130100241
Article
Tracking by Identification Using Computer Vision and Radio
Machine Vision Laboratory, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia
* Author to whom correspondence should be addressed.
Received: 23 October 2012; in revised form: 4 December 2012 / Accepted: 12 December 2012 / Published: 24 December 2012
(This article belongs to the Section Sensor Networks)
Download PDF Full-Text [1263 KB, uploaded 24 December 2012 09:48 CET]
Abstract: We present a novel system for detection, localization and tracking of multiple people, which fuses a multi-view computer vision approach with a radio-based localization system. The proposed fusion combines the best of both worlds, excellent computer-vision-based localization, and strong identity information provided by the radio system, and is therefore able to perform tracking by identification, which makes it impervious to propagated identity switches. We present comprehensive methodology for evaluation of systems that perform person localization in world coordinate system and use it to evaluate the proposed system as well as its components. Experimental results on a challenging indoor dataset, which involves multiple people walking around a realistically cluttered room, confirm that proposed fusion of both systems significantly outperforms its individual components. Compared to the radio-based system, it achieves better localization results, while at the same time it successfully prevents propagation of identity switches that occur in pure computer-vision-based tracking.
Keywords: person localization; identification; tracking; radio; computer vision; multi-camera; sensor fusion; tracking-by-identification
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MDPI and ACS Style
Mandeljc, R.; Kovačič, S.; Kristan, M.; Perš, J. Tracking by Identification Using Computer Vision and Radio. Sensors 2013, 13, 241-273.
AMA StyleMandeljc R, Kovačič S, Kristan M, Perš J. Tracking by Identification Using Computer Vision and Radio. Sensors. 2013; 13(1):241-273.
Chicago/Turabian StyleMandeljc, Rok; Kovačič, Stanislav; Kristan, Matej; Perš, Janez. 2013. "Tracking by Identification Using Computer Vision and Radio." Sensors 13, no. 1: 241-273.