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An Embedded Real-Time Surveillance System: Implementation and Evaluation

På svenska

Author

  • Fredrik Kristensen
  • Hugo Hedberg
  • Hongtu Jiang
  • Peter Nilsson
  • Viktor Öwall

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

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