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Statistical Analysis of Dynamic Actions

Zelnik-Manor, Lihi and Irani, Michal (2006) Statistical Analysis of Dynamic Actions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28 (9). pp. 1530-1535. ISSN 0162-8828. https://resolver.caltech.edu/CaltechAUTHORS:ZELieeetpami06

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Abstract

Real-world action recognition applications require the development of systems which are fast, can handle a large variety of actions without a priori knowledge of the type of actions, need a minimal number of parameters, and necessitate as short as possible learning stage. In this paper, we suggest such an approach. We regard dynamic activities as long-term temporal objects, which are characterized by spatio-temporal features at multiple temporal scales. Based on this, we design a simple statistical distance measure between video sequences which captures the similarities in their behavioral content. This measure is nonparametric and can thus handle a wide range of complex dynamic actions. Having a behavior-based distance measure between sequences, we use it for a variety of tasks, including: video indexing, temporal segmentation, and action-based video clustering. These tasks are performed without prior knowledge of the types of actions, their models, or their temporal extents.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/TPAMI.2006.194DOIUNSPECIFIED
Additional Information:© Copyright 2006 IEEE. Reprinted with permission. Manuscript received 10 Nov. 2004; revised 12 Sept. 2005; accepted 27 Jan. 2006; published online 13 July 2006. Recommended for acceptance by I.A. Essa. This work was supported by the European Commission Project IST-2000-26001 VIBES and by the Israeli Ministry of Science Grant no. 1229.
Subject Keywords:Action recognition, video indexing, temporal segmentation
Issue or Number:9
Record Number:CaltechAUTHORS:ZELieeetpami06
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:ZELieeetpami06
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:4787
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:06 Sep 2006
Last Modified:02 Oct 2019 23:16

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