Matches in SemOpenAlex for { <https://semopenalex.org/work/W2296039095> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2296039095 abstract "Human action recognition is a very active research topic in computer vision and pattern recognition. Recently, it has shown a great potential for human action recognition using the 3D depth data captured by the promising RGB-D cameras, and particularly, the Microsoft Kinect which has made high resolution real-time depth cheaply available. Several features and descriptors have been proposed for depth based action recognition, and they have given high results when recognizing the actions, but one dilemma always exists, the labeled data given, which are manually set by humans. They are not enough to build the system, especially that the use of human action recognition is mainly for surveillance of people activities. In this paper, the paucity of labeled data is addressed, by the popular semi supervision machine learning technique co-training, which makes full use of unlabeled samples of two different independent views. Through the experiments on two popular datasets (MSR Action 3D, and MSR DailyActivity 3D), we demonstrate that our proposed framework outperforms the state of art. It improves the accuracy up to 83% in case of MSR Action 3D, and up to 80% MSR DailyActivity 3D, using the same number of labeled samples." @default.
- W2296039095 created "2016-06-24" @default.
- W2296039095 creator A5022527760 @default.
- W2296039095 creator A5034290059 @default.
- W2296039095 creator A5089499810 @default.
- W2296039095 date "2015-12-01" @default.
- W2296039095 modified "2023-10-07" @default.
- W2296039095 title "Semi Supervised Learning for Human Activity Recognition Using Depth Cameras" @default.
- W2296039095 cites W1983363688 @default.
- W2296039095 cites W1983705368 @default.
- W2296039095 cites W2017695267 @default.
- W2296039095 cites W2048679005 @default.
- W2296039095 cites W2060280062 @default.
- W2296039095 cites W2078885226 @default.
- W2296039095 cites W2085735683 @default.
- W2296039095 cites W2120852116 @default.
- W2296039095 cites W2143267104 @default.
- W2296039095 cites W2144380653 @default.
- W2296039095 cites W2145546283 @default.
- W2296039095 cites W2161638512 @default.
- W2296039095 cites W2169251375 @default.
- W2296039095 cites W2173046955 @default.
- W2296039095 cites W2404218691 @default.
- W2296039095 cites W99952337 @default.
- W2296039095 doi "https://doi.org/10.1109/icmla.2015.170" @default.
- W2296039095 hasPublicationYear "2015" @default.
- W2296039095 type Work @default.
- W2296039095 sameAs 2296039095 @default.
- W2296039095 citedByCount "5" @default.
- W2296039095 countsByYear W22960390952020 @default.
- W2296039095 countsByYear W22960390952021 @default.
- W2296039095 countsByYear W22960390952022 @default.
- W2296039095 crossrefType "proceedings-article" @default.
- W2296039095 hasAuthorship W2296039095A5022527760 @default.
- W2296039095 hasAuthorship W2296039095A5034290059 @default.
- W2296039095 hasAuthorship W2296039095A5089499810 @default.
- W2296039095 hasConcept C121687571 @default.
- W2296039095 hasConcept C153180895 @default.
- W2296039095 hasConcept C154945302 @default.
- W2296039095 hasConcept C31972630 @default.
- W2296039095 hasConcept C41008148 @default.
- W2296039095 hasConceptScore W2296039095C121687571 @default.
- W2296039095 hasConceptScore W2296039095C153180895 @default.
- W2296039095 hasConceptScore W2296039095C154945302 @default.
- W2296039095 hasConceptScore W2296039095C31972630 @default.
- W2296039095 hasConceptScore W2296039095C41008148 @default.
- W2296039095 hasLocation W22960390951 @default.
- W2296039095 hasOpenAccess W2296039095 @default.
- W2296039095 hasPrimaryLocation W22960390951 @default.
- W2296039095 hasRelatedWork W1891287906 @default.
- W2296039095 hasRelatedWork W1969648729 @default.
- W2296039095 hasRelatedWork W2007815619 @default.
- W2296039095 hasRelatedWork W2188464267 @default.
- W2296039095 hasRelatedWork W2291700858 @default.
- W2296039095 hasRelatedWork W2891219753 @default.
- W2296039095 hasRelatedWork W2911623453 @default.
- W2296039095 hasRelatedWork W2922225723 @default.
- W2296039095 hasRelatedWork W2954309397 @default.
- W2296039095 hasRelatedWork W3106494386 @default.
- W2296039095 isParatext "false" @default.
- W2296039095 isRetracted "false" @default.
- W2296039095 magId "2296039095" @default.
- W2296039095 workType "article" @default.