An approach for behavior analysis using correlation spectral embedding method

doi:10.1016/j.jocs.2017.07.011

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	An approach for behavior analysis using correlation spectral embedding method
	Jain, Deepak Kumar 1; Jain, Neha 2; Kumar, Shishir 2; Kumar, Amit 2; Kumar, Raj 3; Wang, Haoxiang 4,5
发表期刊	JOURNAL OF COMPUTATIONAL SCIENCE
ISSN	1877-7503
	2018-03-01
卷号	25 页码:397-405
通讯作者	Jain, Deepak Kumar(deepak@cripac.ia.ac.cn)
摘要	Automatic identification of various facial movements and expressions with high recognition value is important for human computer interaction as the facial behavior of a human can be treated as an important factor for information representation as well as communication. A high deviation of human appearance and existence of noisy contextual background makes the human pose analysis is hard to achieve. A number of basic factors such as cluttered background, occlusion, and camera movement and illumination variations degrade the image quality resulting in poor performance for identifying different facial expressions. Moreover, the identification of the automatic feature detection in facial behavior requires high degree of correlation between the training and test images. Our proposed work tries to address the mentioned problems and resolve to some extent. In this methodology, a Decision-based Spectral Embedding approach combining appearance and geometry based features for head pose estimation and facial expression recognition by minimizing the objective function which leads to selection of optimal set of fiducial points. The method preserves the local information from different facial views for mapping neighboring input to its corresponding output, resulting in low dimensional representation for encoding the relationships of the data. The proposed methodology is validated with benchmark datasets for analyzing the performance of recognition of facial behavior. (C) 2017 Elsevier B.V. All rights reserved.
关键词	Correlation Encoding Embedding approach
DOI	10.1016/j.jocs.2017.07.011
关键词[WOS]	ACTION RECOGNITION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS记录号	WOS:000431933300037
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28167
专题	离退休人员
通讯作者	Jain, Deepak Kumar
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Jaypee Univ Engn & Technol, Dept Comp Sci & Engn, Guna, India 3.GGSIPU, SGTBIM&IT, Delhi, India 4.Cornell Univ, Dept ECE, Ithaca, NY 14853 USA 5.GoPercept Lab, R&D Ctr, Ithaca, NY USA
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Jain, Deepak Kumar,Jain, Neha,Kumar, Shishir,et al. An approach for behavior analysis using correlation spectral embedding method[J]. JOURNAL OF COMPUTATIONAL SCIENCE,2018,25:397-405.
APA	Jain, Deepak Kumar,Jain, Neha,Kumar, Shishir,Kumar, Amit,Kumar, Raj,&Wang, Haoxiang.(2018).An approach for behavior analysis using correlation spectral embedding method.JOURNAL OF COMPUTATIONAL SCIENCE,25,397-405.
MLA	Jain, Deepak Kumar,et al."An approach for behavior analysis using correlation spectral embedding method".JOURNAL OF COMPUTATIONAL SCIENCE 25(2018):397-405.