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Compressed domain action classification using HMM

Babu, Venkatesh R and Anantharaman, B and Ramakrishnan, KR and Srinivasan, SH (2002) Compressed domain action classification using HMM. In: Pattern Recognition Letters, 23 (10). pp. 1203-1213.

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This paper proposes three techniques of feature extraction for person independent action classification in compressed MPEG video. The features used are extracted from motion vectors, obtained by partial decoding of the MPEG video. The feature vectors are fed to Hidden Markov Model (HMM) for classification of actions. Totally seven actions were trained with distinct HMM for classification. Recognition results of more than 90% have been achieved. This work is significant in the context of emerging MPEG-7 standard for video indexing and retrieval.

Item Type: Journal Article
Publication: Pattern Recognition Letters
Publisher: Elsevier
Additional Information: Copyright of this article belongs to Elsevier.
Keywords: Action classification;Compressed domain;Content-based retrieval;Feature extraction;Indexing;MPEG-7
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 02 Jun 2006
Last Modified: 19 Sep 2010 04:29
URI: http://eprints.iisc.ac.in/id/eprint/7487

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