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3D Data Processing Visualization and Transmission, International Symposium on (2004)
Thessaloniki, Greece
Sept. 6, 2004 to Sept. 9, 2004
ISBN: 0-7695-2223-8
pp: 640-647
J. K. Aggarwal , The University of Texas at Austin
Sangho Park , The University of Texas at Austin
ABSTRACT
Processing of image sequences has progressed from simple structure from motion paradigm to the recognition of actions / interactions as events. Understanding human activities in video has many potential applications including automated surveillance, video archival/retrieval, medical diagnosis, sports analysis, and human-computer interaction. Understanding human activities involves various steps of low-level vision processing such as segmentation, tracking, pose recovery, and trajectory estimation as well as high-level processing tasks such as body modeling and representation of action. While low-level processing has been actively studied, high-level processing is just beginning to receive attention. This is partly because high-level processing depends on the results of low-level processing. However, high-level processing also requires some independent and additional approaches and methodologies. In this paper, we focus on the following aspects of high-level processing: (1) human body modeling, (2) level of detail needed to understand human actions, (3) approaches to human action recognition, and (4) high-level recognition schemes with domain knowledge. The review is illustrated by examples of each of the areas discussed, including recent developments in our work on understanding human activities.
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CITATION

J. K. Aggarwal and S. Park, "Human Motion: Modeling and Recognition of Actions and Interactions," 3D Data Processing Visualization and Transmission, International Symposium on(3DPVT), Thessaloniki, Greece, 2004, pp. 640-647.
doi:10.1109/TDPVT.2004.1335299
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