An Embedded Low Power High Efficient Object Tracker for Surveillance Systems
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 probl...
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| creator | Diaz, I. Heijligers, M. Kleihorst, R. Danilin, A. |
| description | 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. |
| doi_str_mv | 10.1109/ICDSC.2007.4357546 |
| format | Conference Proceeding |
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| identifier | ISBN: 9781424413539 |
| ispartof | 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, 2007, p.372-378 |
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| language | eng |
| recordid | cdi_ieee_primary_4357546 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Background noise Electrical Engineering, Electronic Engineering, Information Engineering Elektroteknik och elektronik Embedded Engineering and Technology Forgetting Foreground Image segmentation Labeling Merging Multidirectional Image mapping Noise robustness Object detection Object Tracking Rain Smart Camera Smart cameras Surveillance Teknik Working environment noise |
| title | An Embedded Low Power High Efficient Object Tracker for Surveillance Systems |
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