A robust people detection, tracking, and counting system
- The ability to track moving people is a key aspect of autonomous robot systems in real-world environments. Whilst for many tasks knowing the approximate positions of people may be sufficient, the ability to identify unique people is needed to accurately count people in the real world. To accomplish the people counting task, a robust system for people detection, tracking and identification is needed.
Document Type: | Conference Object |
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Language: | English |
Author: | Nathan Kirchner, Alen Alempijevic, Alexander Virgona, Xiaohe Dai, Paul G. Plöger, Ravi Kumar Venkat |
Parent Title (English): | Proceedings of Australasian Conference on Robotics and Automation, 2-4 Dec 2014, The University of Melbourne, Melbourne, Australia |
Number of pages: | 8 |
URL: | http://www.araa.asn.au/conferences/acra-2014/table-of-contents/ |
Publisher: | ARAA |
Publication year: | 2014 |
Departments, institutes and facilities: | Fachbereich Informatik |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Entry in this database: | 2015/05/13 |