Earticle

초록

영어

Video can be regarded as three dimensional spatio-temporal volume, in which human ac-tion is a three dimensional shape (3D shape) surrounded by the spatio-temporal silhouette surface. The type of human action depends on the shape of the silhouette surface. In this pa-per, we proposed a new feature called Oriented Gradient Histogram of Slide Blocks by build-ing dense overlapping spatio-temporal slide blocks to detect the shape of the 3D silhouette surface of the human action. Sparse coding is adopted to represent videos based on the new feature and Random Forest is utilized to classify the types of human actions. Experiments on KTH and Weizmann human action datasets demonstrate that the new feature can describe the spatio-temporal silhouette surface correctly, accordingly recognize the human action types accurately.

목차

Abstract
 1. Introduction
 2. Oriented Gradient Histogram of Slide Blocks
  2.1. 3D Gradient Definition
  2.2. Spatio-Temporal Silhouette
  2.3. Slide Blocks Definition
  2.4. New Feature Definition
 3. Human Action Recognition Scheme based on New Feature
  3.1. New Feature Extraction
  3.2. Feature’s Representation with Sparse Coding
  3.3. Reducing Dimension by Max Pooling
  3.4. Human Action Recognition by Classifiers
 4. Experiment and Result
  4.1. Experiment Setup
  4.2. Evaluation and Performance of our Algorithm on KTH
  4.3. Evaluation and Performance of our Algorithm on Weizmann
  4.4. Comparison among Three Algorithms
 5. Conclusions
 Acknowledgments
 References

키워드

저자

• Yaqing Li [ School of Information Security Engineering Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques ]
• Tanfeng Sun [ School of Information Security Engineering Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques ]
• Xinghao Jiang [ School of Information Security Engineering Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605