Title :
A low resolution multi-camera system for person tracking
Author :
Eldib, Mohamed ; Nyan Bo Bo ; Deboeverie, Francis ; Nino, Jorge ; Guan, Junzhi ; Van de Velde, Samuel ; Steendam, Heidi ; Aghajan, Hamid ; Philips, Wilfried
Author_Institution :
iMinds, Dept. of Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
Abstract :
The current multi-camera systems have not studied the problem of person tracking under low resolution constraints. In this paper, we propose a low resolution sensor network for person tracking. The network is composed of cameras with a resolution of 30×30 pixels. The multi-camera system is used to evaluate probability occupancy mapping and maximum likelihood trackers against ground truth collected by ultra-wideband (UWB) testbed. Performance evaluation is performed on two video sequences of 30 minutes. The experimental results show that maximum likelihood estimation based tracker outperforms the state-of-the-art on low resolution cameras.
Keywords :
cameras; image resolution; image sensors; image sequences; maximum likelihood estimation; probability; UWB testbed; low resolution multicamera system; low resolution sensor network; maximum likelihood estimation; maximum likelihood tracker; performance evaluation; person tracking; probability occupancy mapping; time 30 min; ultrawideband testbed; video sequence; Cameras; Correlation; Image resolution; Maximum likelihood detection; Maximum likelihood estimation; Tracking; Video sequences; Low resolution multi-camera systems; behavior analysis; foreground detection; tracking;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025075
