An Embedded Real-Time Surveillance System: Implementation and Evaluation
Författare
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.
Publiceringsår
2008
Språk
Engelska
Sidor
75-94
Publikation/Tidskrift/Serie
Journal of VLSI Signal Processing
Volym
52
Issue
1
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Springer
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Nyckelord
- hardware
- surveillance
- real-time
- embedded system
- video processing
- image features
- tracking
- labeling
- FPGA
- segmentation
- morphology
Status
Published
Forskningsgrupp
- Elektronikkonstruktion
- Digital ASIC
ISBN/ISSN/Övrigt
- ISSN: 0922-5773