• English
    • Türkçe
  • English 
    • English
    • Türkçe
  • Login
View Item 
  •   DSpace Home
  • Araştırma Çıktıları / WOS
  • Araştırma Çıktıları / WOS
  • View Item
  •   DSpace Home
  • Araştırma Çıktıları / WOS
  • Araştırma Çıktıları / WOS
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Action Recognition Using Random Forest Prediction with Combined Pose-based and Motion-based Features

Thumbnail
View/Open
Action recognition using random forest prediction with combined pose-based and motion-based features.pdf (139.5Kb)
Date
2013
Author
Ar, İlktan
Akgül, Yusuf Sinan
Abstract
In this paper we propose a novel human action recognition system that uses random forest prediction with statistically combined pose-based and motion-based features. Given a set of training and test image sequences (videos) we first adopt recent techniques that extract low-level features: motion and pose features. Motion-based features which represent motion patterns in the consecutive images are formed by 3D Haar-like features. Pose-based features are obtained by the calculation of scale invariant contour-based features. Then using statistical methods we combine these low-level features to a novel compact representation which describes the global motion and the global pose information in the whole image sequence. Finally Random Forest classification is employed to recognize actions in the test sequences by using this novel representation. Our experimental results on KTH and Weizmann datasets have shown that the combination of pose-based and motion-based features increased the system recognition accuracy. The proposed system also achieved classification rates comparable to the state-of-the-art approaches.

Source

2013 8th International Conference On Electrical And Electronics Engineering (ELECO)

Pages

315-319

URI

https://hdl.handle.net/20.500.12469/845
https://ieeexplore.ieee.org/abstract/document/6713852

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Araştırma Çıktıları / WOS [1518]
  • Bilgisayar Mühendisliği / Computer Engineering [188]

Share


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access TypesThis CollectionBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access Types

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV