LEARNING
A Vision-based Human Action Recognition System for Moving Cameras Through Deep Learning
Ming‐Jen Chang, Jih-Tang Hsieh, Chiung-Yao Fang, Sei-Wang Chen
- Year
- 2019
- Citations
- 11
Abstract
This study presents a vision-based human action recognition system using a deep learning technique. The system can recognize human actions successfully when the camera of a robot is moving toward the target person from various directions. Therefore, the proposed method is useful for the vision system of indoor mobile robots.
Keywords
Artificial intelligenceComputer visionComputer scienceAction recognitionAction (physics)Mobile robotDeep learningRobot visionRobotMachine vision
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002