NDLI: Visual analysis of child-adult interactive behaviors in video sequences

Content Provider	IEEE Xplore Digital Library
Author	Ye Liu Xinye Zhang Jinshi Cui Chen Wu Aghajan, H. Hongbin Zha
Copyright Year	2010
Description	Author affiliation: Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China (Ye Liu; Xinye Zhang; Jinshi Cui; Hongbin Zha) \|\| Ambient Intelligence Research Lab, Stanford University, CA, USA (Chen Wu; Aghajan, H.)
Abstract	Kids activity means a lot to their parents, and in the analysis of the activities, video retrieval has played an important role. In this paper, we propose an effective approach for the retrieval of the kid's activities from home videos. The video sequences are taken from our test-bed environment that is designed in the form of a smart home, and feature various types of child-adult interactions. We present a novel retrieval method with two steps, first using spatio-temporal matching to obtain a coarse result, And then we propose a method to learn dominant child-adult interactive behaviors based on a sequence of home videos. Based on these dominant behaviors, we get rid of some false retrieval and obtain fine result. We implement and test our methodology on a newly-introduced dataset containing several types of kid's activities, and the retrieval result shows its potential application in the video analysis demain, it can find out most of the video clips relevant to the query one.
Starting Page	26
Ending Page	33
File Size	1464753
Page Count	8
File Format	PDF
ISBN	9781424490271
e-ISBN	9781424490264
DOI	10.1109/VSMM.2010.5665969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-20
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Visualization Games Motion segmentation Histograms Video sequences Semantics
Content Type	Text
Resource Type	Article

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