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

fYear

2014

fDate

27-30 Oct. 2014

Firstpage

378

Lastpage

382

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2014 IEEE International Conference on

Conference_Location

Paris

Type

conf

DOI

10.1109/ICIP.2014.7025075

Filename

7025075