ICIP 2006, Atlanta, GA

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Paper Detail

Session:Semantic Indexing and Retrieval of Images
Time:Wednesday, October 11, 17:00 - 17:20
Presentation: Lecture
Topic: Image & Video Storage and Retrieval: Semantic indexing and retrieval of images
Authors: B. Song; University of California, Riverside 
 N. Vaswani; Iowa State University 
 Amit Roy-Chowdhury; University of California, Riverside 
Abstract: In order to summarize a video consisting of a sequence of different activities, there are three fundamental problems: tracking the objects of interest, detecting the activity change times and recognizing the new activity. This paper presents an algorithm for achieving all these three tasks simultaneously and presents results on how it can used for indexing and summarizing a real-life video sequence. Human activities are represented by a model for the dynamics of the shape of the human body contour. Measures are designed for detecting both gradual transitions and sudden changes between activity models.