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Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications

Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K. Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications. In: 17th IEEE international conference on electronics, circuits, and systems (ICECS). IEEE, 375 -378. ISBN 978-1-4244-8155-2 (2010)

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The compression of video can reduce the accuracy of automated tracking algorithms. This is problematic for centralized applications such as transportation surveillance systems, where remotely captured and compressed video is transmitted to a central location for tracking. In typical systems, the majority of communications bandwidth is spent on representing events such as capture noise or local changes to lighting. We propose a pre- and post-processing algorithm that identifies and removes such events of low tracking interest, significantly reducing the bitrate required to transmit remotely captured video while maintaining comparable tracking accuracy. Using the H.264/AVC video coding standard and a commonly used state-of-the-art tracker we show that our algorithm allows for up to 90 bitrate savings while maintaining comparable tracking accuracy.

Item Type: Book Section
Identification Number: 10.1109/ICECS.2010.5724531
Uncontrolled Keywords: H.264 COMPRESSION; H.264/AVC video coding standard; automated tracking algorithms; tracking-optimal post-processing; tracking-optimal preprocessing; traffic video surveillance; video compression; video coding; video surveillance
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Research Area: Computer Science and Applications
Depositing User: Users 35 not found.
Date Deposited: 08 Sep 2011 13:30
Last Modified: 05 Mar 2013 15:33
URI: http://eprints.imtlucca.it/id/eprint/849

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