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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Efficient video analytics to overcome command latency for mega-pixel video transmission over ethernet

Asif, Muhammad and Soraghan, J.J. (2008) Efficient video analytics to overcome command latency for mega-pixel video transmission over ethernet. In: 15th International Conference on Systems, Signals and Image Processing, 2008. IEEE, pp. 351-345. ISBN 978-80-227-2856-0

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Abstract

The Mega-pixel digital cameras for the surveillance system has the advantage of high-resolution videos but at the same time has the disadvantage of large latency time to transmit over the network. Which eventually results in incapability of desired object tracking. This problem can be over come by intelligent Video Analytics at the video acquisition end. Real time efficient video analytics (VA) for surveillance system need to make decision with in camera processing unit or at camera edge processing unit. This paper presents a novel approach to generate a full view mosaic for a surveillance sequence to help detect moving objects and extract MPEG-7 motion descriptors. The algorithm has been evaluated with several test sequence simulating dynamic environment with camera and object motion.