Integrating multiple levels of zoom to enable activity analysis

    Authors

    P. Smith; M. Shah;N. D. Lobo

    Comments

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    Abbreviated Journal Title

    Comput. Vis. Image Underst.

    Keywords

    activity analysis; action recognition; multiple cameras; multiple zoom; multi zoom; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

    Abstract

    In this paper, we present a multi-zoom framework for activity analysis in situations requiring combinations of both detailed and coarse views of the scene. The epipolar geometry is employed in several novel ways in the context of activity analysis. Detecting and tracking objects in time and consistently labeling these objects across zoom levels are two necessary tasks for such activity analysis. First, a multiview approach to automatically detect and track heads and hands in a scene is described. Then, by making use of epipolar, spatial, trajectory, and appearance constraints, objects are labeled consistently across cameras (zooms). Finally, we demonstrate how multiple levels of zoom can cooperate and complement each other to help solve problems related to activity analysis. (c) 2006 Elsevier Inc. All rights reserved.

    Journal Title

    Computer Vision and Image Understanding

    Volume

    103

    Issue/Number

    1

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    33

    Last Page

    51

    WOS Identifier

    WOS:000238263700003

    ISSN

    1077-3142

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