Advanced

An embedded low power high efficient object tracker for surveillance systems

Diaz, Isael LU ; Heijligers, Marc; Kleihors, Richard and Danilin, Alexander (2007) In First ACM/IEEE International Conference on Distributed Smart Cameras, 2007. ICDSC '07. 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Forgetting Foreground., Multidirectional Image mapping, Embedded, Object Tracking, Smart Camera
in
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
2008-12-01 10:39:10
date last changed
2016-10-13 04:52:21
@misc{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},
  isbn         = {978-1-4244-1354-6},
  keyword      = {Forgetting Foreground.,Multidirectional Image mapping,Embedded,Object Tracking,Smart Camera},
  language     = {eng},
  pages        = {372--378},
  series       = {First ACM/IEEE International Conference on Distributed Smart Cameras, 2007. ICDSC '07.},
  title        = {An embedded low power high efficient object tracker for surveillance systems},
  url          = {http://dx.doi.org/10.1109/ICDSC.2007.4357546},
  year         = {2007},
}