Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models
- 14 October 2010
- journal article
- research article
- Published by Springer Science and Business Media LLC in International Journal of Computer Vision
- Vol. 93 (1), 22-32
- https://doi.org/10.1007/s11263-010-0384-0
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A Biologically Inspired System for Action RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- An Online Discriminative Approach to Background SubtractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Behavior Recognition via Sparse Spatio-Temporal FeaturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoostLecture Notes in Computer Science, 2006
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Identification of Humans Using GaitIEEE Transactions on Image Processing, 2004
- Coupled hidden Markov models for complex action recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Shape matching and object recognition using shape contextsIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- The Visual Analysis of Human Movement: A SurveyComputer Vision and Image Understanding, 1999
- Some results on Tchebycheffian spline functionsJournal of Mathematical Analysis and Applications, 1971