Abstract
Biological vision systems are capable of discerning detail as well as detecting objects and motion in a wide range of highly variable lighting conditions that proves challenging to traditional cameras. In this paper, the authors describe the real-time implementation of a biological vision model using a high dynamic range video camera and a General Purpose Graphics Processing Unit. The effectiveness of this implementation is demonstrated in two surveillance applications: dynamic equalization of contrast for improved recognition of scene detail and the use of biologically-inspired motion processing for the detection of small or distant moving objects in a complex scene. A system based on this prototype could improve surveillance capability in any number of difficult situations.
Original language | English |
---|---|
Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | International Journal of Digital Crime and Forensics |
Volume | 2 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Keywords
- Biological vision
- Digital video processing
- Image enhancement
- Motion detection
- Surveillance