Title :
Where are My Colleagues and Why? Tracking Multiple Persons in Indoor Environments
Author :
Kruger, Frank ; Kasparick, Martin ; Mundt, Thomas ; Kirste, Thomas
Author_Institution :
Mobile Multimedia Inf. Syst. Group, Univ. of Rostock, Rostock, Germany
fDate :
June 30 2014-July 4 2014
Abstract :
Imagine an office environment equipped with infrared presence sensors for light control as modern buildings offer. Several persons might be moving in this environment independently from each other. Potential questions arising here are: Which rooms are occupied?", "How many persons are in room 123?", or "Where is John?". In this paper we present an information fusion approach based on causal models. Prior knowledge is used to solve the simultaneous identification and multi target tracking problem. Based on an experimental setting, we show that the proposed approach enables tracking up to five persons. Furthermore, we discuss potential applications in the domain of fire service or monitoring of elderly people.
Keywords :
infrared detectors; sensor fusion; target tracking; buildings; causal models; elderly people monitoring; fire service; indoor environments; information fusion approach; infrared presence sensors; light control; multiple person tracking; multitarget tracking problem; office environment; simultaneous identification; Bayes methods; Buildings; Computational modeling; Hidden Markov models; Libraries; Probabilistic logic; Sensors;
Conference_Titel :
Intelligent Environments (IE), 2014 International Conference on
Conference_Location :
Shanghai