DocumentCode :
1864957
Title :
An Embedded Low Power High Efficient Object Tracker for Surveillance Systems
Author :
Diaz, Isael ; Heijligers, Marc ; Kleihorst, Richard ; Danilin, Alexander
Author_Institution :
Lund Univ., Lund
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
372
Lastpage :
378
Abstract :
This paper introduces a real-time surveillance application for object tracking with capabilities of functioning on 25 f/s mode, implemented in a high efficient, high performance and low power smart camera WiCa (wireless camera) developed by NXP Research. The proposed application deals with the problem of constantly changing environments as light change, swaying branches, rain and noise introduced by the camera with techniques of robust background modeling. This article also proposes a method to detect objects merging into the background model named "forgetting foreground" technique and also a new method called "multi-directional image mapping" used for object labeling and segmentation.
Keywords :
cameras; image segmentation; object detection; surveillance; tracking; background model; embedded low power tracker; forgetting foreground technique; high efficient object tracker; multi-directional image mapping; object labeling; object segmentation; object tracking; objects detect; real-time surveillance; robust background modeling; smart camera WiCa; surveillance systems; wireless camera; Background noise; Image segmentation; Labeling; Merging; Noise robustness; Object detection; Rain; Smart cameras; Surveillance; Working environment noise; Embedded; Forgetting Foreground; Multidirectional Image mapping; Object Tracking; Smart Camera;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Smart Cameras, 2007. ICDSC '07. First ACM/IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-1354-6
Electronic_ISBN :
978-1-4244-1354-6
Type :
conf
DOI :
10.1109/ICDSC.2007.4357546
Filename :
4357546
Link To Document :
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