NDLI: Hierarchical 3D kernel descriptors for action recognition using depth sequences

Content Provider	IEEE Xplore Digital Library
Author	Yu Kong Satarboroujeni, B. Yun Fu
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA (Yu Kong; Satarboroujeni, B.; Yun Fu)
Abstract	Action recognition is a challenging task due to intra-class motion variation caused by diverse style and duration in performed action videos. Previous works on action recognition task are more focused on hand-crafted features, treat different sources of information independently, and simply combine them before classification. In this paper we study action recognition from depth sequences captured by RGB-D cameras using kernel descriptors. Kernel descriptors provide an elegant way for combining a variety of information sources and can be easily applied to a hierarchical structure. We show how using kernel descriptors over pixel-level attributes in video sequences gains a great success compared to state-of-the-art methods. Following the success of kernel descriptors [1] on object recognition tasks, we employ 3D kernel descriptors, which are a unified framework for capturing pixel-level attributes and turning them into discriminative low-level features on individual 3D patches. We use efficient match kernel (EMK) [2] as the next level of our hierarchical structure to abstract the mid-level features for classification. Through extensive experiments we demonstrate using pixel-level attributes in the hierarchical architecture of our 3D kernel descriptor and EMK achieves superior performance on the standard depth sequences benchmarks.
Starting Page	1
Ending Page	6
File Size	2808145
Page Count	6
File Format	PDF
ISBN	9781479960262
DOI	10.1109/FG.2015.7163084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-04
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Three-dimensional displays Feature extraction Accuracy Videos Shape Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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