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)Full text not available from this repository.
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.
|Item Type:||Book Section|
|Uncontrolled 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;|
|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:||07 Sep 2011 14:17|
|Last Modified:||05 Mar 2013 15:34|
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