The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences.

	The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences.
	Ji, Xiaopeng; Cheng, Jun; Tao, Dapeng; Wu, Xinyu; Feng, Wei
刊名	KNOWLEDGE-BASED SYSTEMS
	2017
文献子类	期刊论文
英文摘要	Depth sequences are useful for action recognition since they are insensitive to illumination variation and provide geometric information. Many current action recognition methods are limited by being computationally expensive and requiring large-scale training data. Here we propose an effective method for human action recognition using depth sequences captured by depth cameras. A multi-resolution operation, the spatial Laplacian and temporal energy pyramid (SLTEP), decomposes the depth sequences into certain frequency bands in different space and time positions. A spatial aggregating and fusion scheme is applied to cluster the low-level features and concatenate two different feature types extracted from low and high frequency levels, respectively. We evaluate our approach on five public benchmark datasets (MSRAction3D, MSRGesture3D, MSRActionPairs, MSRDailyActivity3D, and NTU RGB+D) and demonstrate its advantages over existing methods and is likely to be highly useful for online applications. (C) 2017 Elsevier B.V. All rights reserved.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11638]
专题	深圳先进技术研究院_集成所
作者单位	KNOWLEDGE-BASED SYSTEMS
推荐引用方式 GB/T 7714	Ji, Xiaopeng,Cheng, Jun,Tao, Dapeng,et al. The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences.[J]. KNOWLEDGE-BASED SYSTEMS,2017.
APA	Ji, Xiaopeng,Cheng, Jun,Tao, Dapeng,Wu, Xinyu,&Feng, Wei.(2017).The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences..KNOWLEDGE-BASED SYSTEMS.
MLA	Ji, Xiaopeng,et al."The spatial Laplacian and temporal energy pyramid representation for human action recognition using depth sequences.".KNOWLEDGE-BASED SYSTEMS (2017).