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In this paper we present a system for classifying various human actions in compressed domain video framework. We introduce the notion of quantifying the motion involved, through what we call "Motion Flow History" (MFH). The encoded motion information readily available in the compressed MPEG stream is used to construct the coarse Motion History Image (MHI) and the corresponding MFH. The features extracted from the static MHI and MFH compactly characterize the temporal and motion information ofdoi:10.1109/icip.2003.1247246 dblp:conf/icip/BabuR03 fatcat:bfht5y7sqbendisz2ez3tchabq