Paper
22 September 2003 Improved detection and tracking of small targets in a cluttered environment
Lee Wren, John Thornton, Nigel Bonsor
Author Affiliations +
Abstract
Robust automatic detection and tracking of small targets in cluttered environments is becoming increasingly important; this is especially true in the surveillance of areas of high strategic importance. This paper describes an unattended electro-optical tracking system, designed to automatically detect and track moving targets in cluttered environments. Such a system has to have a low false alarm rate whilst maintaining a high probability of detection. Once a target has been detected a security alert can be issued and the security personnel are automatically shown the relevant images and a risk factor can be applied to each target. Often surveillance systems will be positioned such that there will be sources of false alarms within view. Rejection of these sources is critical, however rejection of genuine targets close to them should be avoided. Methods of rejecting clutter are investigated, these include rejection of known features e.g. vegetation, and rejection of targets that conform to expected patterns e.g. vehicles on a road. Further to this, target tracks are maintained in a 'local' Cartesian coordinate set allowing the possibility of pin-pointing the target and maintaining a track whilst scan capability.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lee Wren, John Thornton, and Nigel Bonsor "Improved detection and tracking of small targets in a cluttered environment", Proc. SPIE 5071, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement II, (22 September 2003); https://doi.org/10.1117/12.512715
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Surveillance systems

Target detection

Roads

Imaging systems

Environmental sensing

Image processing

Back to Top