First-person activity recognition from micro-action representations using convolutional neural networks and object flow histograms
- 29 September 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 80 (15), 22487-22507
- https://doi.org/10.1007/s11042-020-09902-6
Abstract
No abstract availableKeywords
This publication has 53 references indexed in Scilit:
- Activity detection using Sequential Statistical Boundary Detection (SSBD)Computer Vision and Image Understanding, 2016
- Egocentric Daily Activity Recognition via Multitask ClusteringIEEE Transactions on Image Processing, 2015
- High-Speed Tracking with Kernelized Correlation FiltersIEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
- The Pascal Visual Object Classes Challenge: A RetrospectiveInternational Journal of Computer Vision, 2014
- Selective Search for Object RecognitionInternational Journal of Computer Vision, 2013
- Dense Trajectories and Motion Boundary Descriptors for Action RecognitionInternational Journal of Computer Vision, 2013
- The Pascal Visual Object Classes (VOC) ChallengeInternational Journal of Computer Vision, 2009
- Human Detection Using Oriented Histograms of Flow and AppearanceLecture Notes in Computer Science, 2006
- Latent Semantic Indexing: A Probabilistic AnalysisJournal of Computer and System Sciences, 2000
- The Johnson-Lindenstrauss lemma and the sphericity of some graphsJournal of Combinatorial Theory, Series B, 1988