AUTO GMM-SAMT: An Automatic Object Tracking System for Video Surveillance in Traffic Scenarios. (27th October 2010)
- Record Type:
- Journal Article
- Title:
- AUTO GMM-SAMT: An Automatic Object Tracking System for Video Surveillance in Traffic Scenarios. (27th October 2010)
- Main Title:
- AUTO GMM-SAMT: An Automatic Object Tracking System for Video Surveillance in Traffic Scenarios
- Authors:
- Quast, Katharina
Kaup, André - Other Names:
- Regazzoni Carlo Academic Editor.
- Abstract:
- Abstract : A complete video surveillance system for automatically tracking shape and position of objects in traffic scenarios is presented. The system, called Auto GMM-SAMT, consists of a detection and a tracking unit. The detection unit is composed of a Gaussian mixture model- (GMM-) based moving foreground detection method followed by a method for determining reliable objects among the detected foreground regions using a projective transformation. Unlike the standard GMM detection the proposed detection method considers spatial and temporal dependencies as well as a limitation of the standard deviation leading to a faster update of the mixture model and to smoother binary masks. The binary masks are transformed in such a way that the object size can be used for a simple but fast classification. The core of the tracking unit, named GMM-SAMT, is a shape adaptive mean shift- (SAMT-) based tracking technique, which uses Gaussian mixture models to adapt the kernel to the object shape. GMM-SAMT returns not only the precise object position but also the current shape of the object. Thus, Auto GMM-SAMT achieves good tracking results even if the object is performing out-of-plane rotations.
- Is Part Of:
- EURASIP journal on image and video processing. Volume 2011(2011)
- Journal:
- EURASIP journal on image and video processing
- Issue:
- Volume 2011(2011)
- Issue Display:
- Volume 2011, Issue 2011 (2011)
- Year:
- 2011
- Volume:
- 2011
- Issue:
- 2011
- Issue Sort Value:
- 2011-2011-2011-0000
- Page Start:
- Page End:
- Publication Date:
- 2010-10-27
- Subjects:
- Image processing -- Digital techniques -- Periodicals
Digital video -- Periodicals
Traitement d'images
Vidéo numérique
Digital video
Image processing -- Digital techniques
Periodicals
Electronic journal
Electronic journals
621.367 - Journal URLs:
- https://jivp-eurasipjournals.springeropen.com/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1155/2011/814285 ↗
- Languages:
- English
- ISSNs:
- 1687-5176
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10416.xml