Soyak, Eren and Tsaftaris, Sotirios A. and Katsaggelos, Aggelos K. Low-complexity tracking-aware H.264 video compression for transportation surveillance. IEEE Transactions on circuits and systems for video technology, 21 (10). pp. 1378-1389. ISSN 1051-8215 (2011)Full text not available from this repository.
In centralized transportation surveillance systems, video is captured and compressed at low processing power remote nodes and transmitted to a central location for processing. Such compression can reduce the accuracy of centrally run automated object tracking algorithms. In typical systems, the majority of communications bandwidth is spent on encoding temporal pixel variations such as acquisition noise or local changes to lighting. We propose a tracking-aware, H.264-compliant compression algorithm that removes temporal components of low tracking interest and optimizes the quantization of frequency coefficients, particularly those that most influence trackers, significantly reducing bitrate while maintaining comparable tracking accuracy. We utilize tracking accuracy as our compression criterion in lieu of mean squared error metrics. Our proposed system is designed with low processing power and memory requirements in mind, and as such can be deployed on remote nodes. Using H.264/AVC video coding and a commonly used state-of-the-art tracker we show that our algorithm allows for over 90 bitrate savings while maintaining comparable tracking accuracy.
|Uncontrolled Keywords:||Urban transportation video; quantization; video compression; video object tracking; video processing|
|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:||11 Aug 2011 12:27|
|Last Modified:||05 Mar 2013 15:08|
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