Tracking by identification using computer vision and radio

Mandeljc, Rok (author), Kovačič, Stanislav (author), Kristan, Matej (author), Perš, Janez (author)

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.

• Language: English
• Keywords: person localization, identification, tracking, radio, computer vision, multi-camera, sensor fusion, tracking-by-identification
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2013
• Number of pages: Str. 241-273
• Numbering: Vol. 13, iss. 1
• PID: 20.500.12556/RUL-129507
• UDC: 004.932
• ISSN on article: 1424-8220
• DOI: 10.3390/s130100241
• COBISS.SI-ID: 9592404
• Publication date in RUL: 02.09.2021

Record is a part of a journal

• Title: Sensors
• Shortened title: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licences

• License: CC BY 3.0, Creative Commons Attribution 3.0 Unported
• Link: https://creativecommons.org/licenses/by/3.0/deed.en
• Description: You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
• Licensing start date: 01.01.2013

Secondary language

• Language: Slovenian
• Keywords: lokalizacija oseb, identifikacija, sledenje, radio, računalniški vid, več kamer, zlivanje senzorjev, sledenje prek identifikacije