Combined curvelets and hidden Markov models for human fall detection
- 8 March 2017
- journal article
- research article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 77 (5), 6405-6424
- https://doi.org/10.1007/s11042-017-4549-5
Abstract
No abstract availableKeywords
This publication has 37 references indexed in Scilit:
- Assessing the Performance of Classification MethodsInternational Statistical Review, 2012
- Eigenspace-based fall detection and activity recognition from motion templates and machine learningExpert Systems with Applications, 2012
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- FACIAL BIOMETRICS USING NONTENSOR PRODUCT WAVELET AND 2D DISCRIMINANT TECHNIQUESInternational Journal of Pattern Recognition and Artificial Intelligence, 2009
- Evaluation of a threshold-based tri-axial accelerometer fall detection algorithmGait & Posture, 2007
- Bangla Basic Character Recognition Using Digital Curvelet TransformJournal of Pattern Recognition Research, 2007
- A practical adaptive approach for dynamic background subtraction using an invariant colour model and object trackingPattern Recognition Letters, 2005
- The curvelet transform for image denoisingIEEE Transactions on Image Processing, 2002
- Efficient moving object segmentation algorithm using background registration techniqueIEEE Transactions on Circuits and Systems for Video Technology, 2002
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov ChainsThe Annals of Mathematical Statistics, 1970