NDLI: Recognition of Activities of Daily Living

Content Provider	IEEE Xplore Digital Library
Author	Avgerinakis, K. Briassouli, A. Kompatsiaris, I.
Copyright Year	2012
Description	Author affiliation: Centre for Res. & Technol., Inf. Technol. Inst., Thessaloniki, Greece (Avgerinakis, K.; Briassouli, A.; Kompatsiaris, I.)
Abstract	This paper presents a new method for human action recognition which exploits advantages of both trajectory and space-time based approaches in order to identify action patterns in given sequences. Videos with both a static and moving camera can be tackled, where camera motion effects are overcome via motion compensation. Only pixels undergoing changing motion, found by extracting motion boundary-based activity areas, are processed in order to introduce robustness to camera motion and reduce computational complexity. In these regions, densely sampled grid points on multiple scales are tracked using a KLT tracker, leading to dense multi-scale trajectories, on which HOGHOF descriptors are estimated. The length of each trajectory is determined by detecting changes in the tracked points' motion or appearance using sequential change detection techniques, namely the CUSUM approach. A vocabulary is created for each video's features using Hierarchical K-means, and the resulting fast search trees are used to describe the actions in the videos. SVMs are used for classification, using a kernel based on the similarity scores between training and testing videos. Experiments are carried out with new and challenging datasets for which the proposed method is shown to lead to recognition results that are comparable to or better than existing state of the art methods.
Starting Page	8
Ending Page	12
File Size	932792
Page Count	5
File Format	PDF
ISBN	9781479902279
ISSN	10823409
DOI	10.1109/ICTAI.2012.181
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-07
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Trajectory Tracking Videos Vocabulary Feature extraction Cameras Computer vision
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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