Using spatiotemporal blocks to reduce the uncertainty in detecting and tracking moving objects in video
by Longin Jan Latecki, Vasileios Megalooikonomou, Roland Miezianko, Dragoljub Pokrajac
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 1, No. 3/4, 2006

Abstract: We present a novel method for detecting moving objects in videos. The method represents videos using spatiotemporal blocks instead of pixels. Dimensionality reduction is performed to obtain a compact representation of each block's values. The block vectors provide a joint representation of texture and motion patterns. The motion detection and tracking experiments demonstrate that our method although simpler than a state-of-the-art method based on the Stauffer-Grimson Gaussian mixture model has superior performance. It reduces both the instability and the processing time making real-time processing of high resolution videos and efficient analysis of large scale video data feasible.

Online publication date: Thu, 01-Jun-2006

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