Human Action Recognition Using LBP-TOP as Sparse Spatio-Temporal Feature Descriptor
- 1 January 2009
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Learning realistic human actions from moviesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial ExpressionsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
- Chaotic Invariants for Human Action RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Face Description with Local Binary Patterns: Application to Face RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
- Behavior Recognition via Sparse Spatio-Temporal FeaturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- On Space-Time Interest PointsInternational Journal of Computer Vision, 2005
- Space-Time Behavior Based CorrelationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Recognizing human actions: a local SVM approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Face Recognition with Local Binary PatternsLecture Notes in Computer Science, 2004
- Recognizing action at a distancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003