eprintid: 849
rev_number: 18
eprint_status: archive
userid: 35
dir: disk0/00/00/08/49
datestamp: 2011-09-08 13:30:49
lastmod: 2013-03-05 15:33:17
status_changed: 2011-09-08 13:30:49
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Soyak, Eren
creators_name: Tsaftaris, Sotirios A.
creators_name: Katsaggelos, Aggelos K.
creators_id: 
creators_id: sotirios.tsaftaris@imtlucca.it
creators_id: 
title: Tracking-optimal pre- and post-processing for H.264 compression in traffic video surveillance applications
ispublished: pub
subjects: QA75
subjects: TK
divisions: CSA
full_text_status: none
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
abstract: 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.
date: 2010-12
date_type: published
publisher: IEEE
pagerange: 375 -378
event_title: Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE International Conference on
id_number: 10.1109/ICECS.2010.5724531
refereed: TRUE
isbn: 978-1-4244-8155-2 
book_title: 17th IEEE international conference on electronics, circuits, and systems (ICECS)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5724531&isnumber=5724436
citation:   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)