An embedded low power high efficient object tracker for surveillance systems
(2007) p.372-378- Abstract
- This paper introduces a real-time surveillance application for object tracking with capablilities 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1244904
- author
- Diaz, Isael LU ; Heijligers, Marc ; Kleihors, Richard and Danilin, Alexander
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Forgetting Foreground., Multidirectional Image mapping, Embedded, Object Tracking, Smart Camera
- host publication
- First ACM/IEEE International Conference on Distributed Smart Cameras, 2007. ICDSC '07.
- pages
- 7 pages
- external identifiers
-
- scopus:47349101559
- ISBN
- 978-1-4244-1354-6
- DOI
- 10.1109/ICDSC.2007.4357546
- language
- English
- LU publication?
- yes
- id
- d382070c-6257-42c6-8b44-37d8ee6d8a28 (old id 1244904)
- date added to LUP
- 2016-04-04 12:58:12
- date last changed
- 2022-01-29 23:35:54
@inproceedings{d382070c-6257-42c6-8b44-37d8ee6d8a28, abstract = {{This paper introduces a real-time surveillance application for object tracking with capablilities 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.}}, author = {{Diaz, Isael and Heijligers, Marc and Kleihors, Richard and Danilin, Alexander}}, booktitle = {{First ACM/IEEE International Conference on Distributed Smart Cameras, 2007. ICDSC '07.}}, isbn = {{978-1-4244-1354-6}}, keywords = {{Forgetting Foreground.; Multidirectional Image mapping; Embedded; Object Tracking; Smart Camera}}, language = {{eng}}, pages = {{372--378}}, title = {{An embedded low power high efficient object tracker for surveillance systems}}, url = {{https://lup.lub.lu.se/search/files/6029183/1271963.pdf}}, doi = {{10.1109/ICDSC.2007.4357546}}, year = {{2007}}, }