DocumentCode :
3468856
Title :
Video Based Children´s Social Behavior Classification in Peer-Play Scenarios
Author :
Lu Tian ; Dingrui Duan ; Jinshi Cui ; Li Wang ; Hongbin Zha ; Aghajan, Hamid
Author_Institution :
Peking Univ., Beijing, China
fYear :
2013
fDate :
2-8 Dec. 2013
Firstpage :
746
Lastpage :
747
Abstract :
Labeling children\´s play behavior is an important process in children\´s social behavior analysis which is traditionally done by experienced coders. With the growing volume of data, automatic methods for labeling are increasingly required. This paper presents a novel method to label children\´s social behavior automatically in peer-play scenarios based on visual attention and mutual interaction computation. In this method, the discrete distribution of children\´s visual attention is computed based on face pose estimation. Then, the mutual interaction among children is calculated by "Attention Processes", which are continuous periods of time during which a certain child pays attention to the same target. After that, "Solitary Feature" and "Group Feature" are extracted by the mutual interaction of children and children\´s play behaviors will be classified into 3 types ("Solitary Play", "Parallel Play" and "Group Play") by these two kinds of features. Finally, this method is evaluated by a dataset of children\´s peer-play scenarios and the results show this method has a good performance in our dataset.
Keywords :
behavioural sciences computing; feature extraction; image classification; pose estimation; video signal processing; attention processes; automatic children play behavior labeling method; children peer-play scenarios; discrete children visual attention distribution; face pose estimation; group feature extraction; group play behavior; mutual interaction computation; parallel play behavior; solitary feature extraction; solitary play behavior; video-based children social behavior classification; Computer vision; Conferences; Educational institutions; Face; Feature extraction; Psychology; Visualization; children´s play behavior analysis; social behavior classification; visual attention computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICCVW.2013.128
Filename :
6755970
Link To Document :
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