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• W3008763446 abstract "Paper presents tracking a single moving region in the compressed domain using a spatiotemporal Markov random field (ST-MRF) model. An ST-MRF model naturally integrates the spatial and temporal aspects of the region’s motion. Built upon such a model, the proposed method uses only the motion vectors (MVs) and block coding modes (BCMs) from the compressed bitstream to perform tracking. First, the MVs are pre-processed through intra-coded block motion approximation and global motion compensation (GMC). It is for region tracking in H.264/AVC-compressed video, which could be used to enhance important region analysis and, more generally, scene interpretation, in the compressed domain. It is well known that motion has a strong impact on saliency in dynamic scenes." @default.
• W3008763446 created "2020-03-06" @default.
• W3008763446 creator A5031895117 @default.
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• W3008763446 date "2020-01-01" @default.
• W3008763446 modified "2023-09-25" @default.
• W3008763446 title "Analysis of Global Motion Compensation and Polar Vector Median for Object Tracking Using ST-MRF in Video Surveillance" @default.
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• W3008763446 doi "https://doi.org/10.1007/978-981-15-1366-4_36" @default.
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