The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

An embedded low power high efficient object tracker for surveillance systems

På svenska

Author

  • Isael Diaz
  • Marc Heijligers
  • Richard Kleihors
  • Alexander Danilin

Summary, in English

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.

Publishing year

2007

Language

English

Pages

372-378

Publication/Series

First ACM/IEEE International Conference on Distributed Smart Cameras, 2007. ICDSC '07.

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • Forgetting Foreground.
  • Multidirectional Image mapping
  • Embedded
  • Object Tracking
  • Smart Camera

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-1-4244-1354-6