An approach for behavior analysis using correlation spectral embedding method

doi:10.1016/j.jocs.2017.07.011

	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
刊名	JOURNAL OF COMPUTATIONAL SCIENCE
	2018-03-01
卷号	25 页码:397-405
关键词	Correlation Encoding Embedding approach
ISSN号	1877-7503
DOI	10.1016/j.jocs.2017.07.011
通讯作者	Jain, Deepak Kumar(deepak@cripac.ia.ac.cn)
英文摘要	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.
WOS关键词	ACTION RECOGNITION
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000431933300037
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/28166]
专题	中国科学院自动化研究所
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
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.