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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

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