Biview Learning for Human Posture Segmentation from 3D Points Cloud

	Biview Learning for Human Posture Segmentation from 3D Points Cloud
	Qiao Maoying; Cheng Jun; Bian Wei; Tao Dacheng
刊名	PLOS ONE
	2014
英文摘要	Posture segmentation plays an essential role in human motion analysis. The state-of-the-art method extracts sufficiently high-dimensional features from 3D depth images for each 3D point and learns an efficient body part classifier. However, high-dimensional features are memory-consuming and difficult to handle on large-scale training dataset. In this paper, we propose an efficient two-stage dimension reduction scheme, termed biview learning, to encode two independent views which are depth-difference features (DDF) and relative position features (RPF). Biview learning explores the complementary property of DDF and RPF, and uses two stages to learn a compact yet comprehensive low-dimensional feature space for posture segmentation. In the first stage, discriminative locality alignment (DLA) is applied to the high-dimensional DDF to learn a discriminative low-dimensional representation. In the second stage, canonical correlation analysis (CCA) is used to explore the complementary property of RPF and the dimensionality reduced DDF. Finally, we train a support vector machine (SVM) over the output of CCA. We carefully validate the effectiveness of DLA and CCA utilized in the two-stage scheme on our 3D human points cloud dataset. Experimental results show that the proposed biview learning scheme significantly outperforms the state-of-the-art method for human posture segmentation.
收录类别	SCI
原文出处	http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085811
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5417]
专题	深圳先进技术研究院_集成所
作者单位	PLOS ONE
推荐引用方式 GB/T 7714	Qiao Maoying,Cheng Jun,Bian Wei,et al. Biview Learning for Human Posture Segmentation from 3D Points Cloud[J]. PLOS ONE,2014.
APA	Qiao Maoying,Cheng Jun,Bian Wei,&Tao Dacheng.(2014).Biview Learning for Human Posture Segmentation from 3D Points Cloud.PLOS ONE.
MLA	Qiao Maoying,et al."Biview Learning for Human Posture Segmentation from 3D Points Cloud".PLOS ONE (2014).