Paper
25 September 2007 Transmission of high definition imagery using hybrid FSO/RF links for real-time surveillance, event detection, and follow-up
Juan Carlos Franco, John Rzasa, Stuart D. Milner, Christopher C. Davis
Author Affiliations +
Abstract
High definition (HD) quality imagery provides clearer and more detailed information for use in advanced video surveillance systems. The deployment of such surveillance systems where no fixed communications infrastructure exists presents an ideal application for high data rate directional FSO/RF links and networks. Next generation surveillance systems using HD imagery will be able to detect and analyze objects in detail and at large distances. Such flexibly deployable surveillance systems will be very valuable for military and homeland security surveillance. Nevertheless, designing these types of systems is not an easy task. First, HD images require large amounts of bandwidth: compressed high definition television (HDTV 1080i) images require bit rates of approximately 20Mb/s, which rise to above 1Gb/s for uncompressed images at 30 frames/s, and an increase in the number of cameras in one single system can saturate the available bandwidth. Second, advanced surveillance requires significant computational power for real-time object detection, tracking, and discrimination. This paper analyzes these issues and proposes a solution with on demand video compression and real-time object detection algorithms. A system architecture of a HD scalable system with the ability to track and discriminate objects and events within the system's deployed area will be described. Practical examples of autonomous event detection in wirelessly transmitted HDTV images will be given.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan Carlos Franco, John Rzasa, Stuart D. Milner, and Christopher C. Davis "Transmission of high definition imagery using hybrid FSO/RF links for real-time surveillance, event detection, and follow-up", Proc. SPIE 6709, Free-Space Laser Communications VII, 67091A (25 September 2007); https://doi.org/10.1117/12.739111
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Cited by 1 scholarly publication.
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KEYWORDS
Video

Cameras

Video surveillance

Surveillance

Motion detection

Computer programming

Video compression

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