An Embedded Real-Time Surveillance System: Implementation and Evaluation
Author
Summary, in English
This paper presents the design of an embedded automated digital video surveillance system with real-time performance. Hardware accelerators for video segmentation, morphological operations, labeling and feature extraction are required to achieve the real-time performance while tracking will be handled in software in an embedded processor. By implementing a complete embedded system, bottlenecks in computational complexity and memory requirements can be identified and addressed. Accordingly, a memory reduction scheme for the video segmentation unit, reducing bandwidth with more than 70%, and a low complexity morphology architecture that only requires memory proportional to the input image width, have been developed. On a system level, it is shown that a labeling unit based on a contour tracing technique does not require unique labels, resulting in more than 50% memory reduction. The hardware accelerators provide the tracking software with image objects properties, i.e. features, thereby decoupling the tracking algorithm from the image stream. A prototype of the embedded system is running in real-time, 25 fps, on a field programmable gate array development board. Furthermore, the system scalability for higher image resolution is evaluated.
Publishing year
2008
Language
English
Pages
75-94
Publication/Series
Journal of VLSI Signal Processing
Volume
52
Issue
1
Links
Document type
Journal article
Publisher
Springer
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- hardware
- surveillance
- real-time
- embedded system
- video processing
- image features
- tracking
- labeling
- FPGA
- segmentation
- morphology
Status
Published
Research group
- Elektronikkonstruktion
- Digital ASIC
ISBN/ISSN/Other
- ISSN: 0922-5773