Human action recognition with MPEG-7 descriptors and architectures

Publisher:
ACM (Association for Computing Machinery)
Publication Type:
Conference Proceeding
Citation:
Proceedings of the 1st ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS'10), 2010, pp. 63 - 68
Issue Date:
2010-01
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Modern video surveillance requires addressing high-level concepts such as humans' actions and activities. In addition, surveillance applications need to be portable over a variety of platforms, from servers to mobile devices. In this paper, we explore the potential of the MPEG-7 standard to provide interfaces, descriptors, and architectures for human action recognition from surveillance cameras. Two novel MPEG-7 descriptors, symbolic and feature-based, are presented alongside two different architectures, server-intensive and client-intensive. The descriptors and architectures are evaluated in the paper by way of a scenario analysis.
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