eprintid: 833
rev_number: 18
eprint_status: archive
userid: 35
dir: disk0/00/00/08/33
datestamp: 2011-09-07 14:17:53
lastmod: 2013-03-05 15:34:20
status_changed: 2011-09-07 14:17:53
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: Content-aware H.264 encoding for traffic video tracking applications
ispublished: pub
subjects: QA75
subjects: TK
divisions: CSA
full_text_status: none
keywords: H.264 encoding; automatic tracker; real-time video object tracking; region of interest extraction; urban traffic video tracking; video compression; data compression; target tracking; traffic engineering computing; video coding;
abstract: The compression of video can reduce the accuracy of tracking algorithms, which is problematic for centralized applications that rely on remotely captured and compressed video for input. We show the effects of high compression on the features commonly used in real-time video object tracking. We propose a computationally efficient Region of Interest (ROI) extraction method, which is used during standard-compliant H.264 encoding to concentrate bitrate on regions in video most likely to contain objects of tracking interest (vehicles). This algorithm is shown to significantly increase tracking accuracy, which is measured by employing a commonly used automatic tracker.
date: 2010-03
date_type: published
publisher: IEEE
pagerange: 730 -733
event_title: Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
id_number: 10.1109/ICASSP.2010.5495044
refereed: TRUE
isbn: 978-1-4244-4295-9 
book_title: International conference on  acoustics speech and signal processing (ICASSP)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5495044&isnumber=5494886
citation:   Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K.  Content-aware H.264 encoding for traffic video tracking applications.   In:  International conference on acoustics speech and signal processing (ICASSP).   IEEE, 730 -733.  ISBN 978-1-4244-4295-9       (2010)