An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs


This paper presents an automated video surveillance system which deals with content monitoring and activity change in the environment. We use Viewpoint Feature Histogram, an image descriptor for object recognition and pose estimation for the purpose of monitoring in the surveillance system. In order to enhance the performance of the system, we exploit the… (More)
DOI: 10.1109/ICACCI.2013.6637456


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