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Real-time human motion recognition by an aerial robot

T. Ogala, Shodai Matsuda, Joo Kooi Tan, Seiji Ishikawa

Year
2005
Citations
5

Abstract

Automatic tracking of a specified person is an important technique especially in surveillance. Although various techniques for tracking a person employing a robot system are proposed, nobody attempts to recognize the motion of the tracked person yet. If a robot recognizes the motion of a tracked person, the robot would be able to realize a more intelligent tracking and actions. The purpose of this research is to propose a new tracking system employing a visually controlled aerial robot which recognizes a motion of the specified person in real-time. In this paper, we show the designed spherical aerial robot and the developed motion recognition method. The results of experiments using the developed system show satisfactory performance.

Keywords

Computer visionArtificial intelligenceRobotComputer scienceTracking (education)Motion (physics)Tracking systemRobot controlMobile robotKalman filter

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