Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74483
Title: A quadcopter-based auto cameraman system
Authors: Hung, LN 
Bon, LS 
Keywords: Auto Cameraman
Computer Vision
Quadcopter
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: VCACS 2016 - 2016 IEEE Virtual Conference on Application of Commercial Sensors, Proceedings, 2017, 7888783, p. 2 How to cite?
Abstract: In this project, a quadcopter-based auto cameraman system is designed and implemented. The quadcopter equips with an ordinary camera for both video recording and target tracking. Via tracking the position and orientation of the markers on the reporter's microphone, the quadcopter can move to the corresponding position relative to the microphone such that the onboard camera can always have a good view of the reporter. The quadcopter is further installed with sonar and optical flow sensors to maintain its tracking capability and to provide obstacle avoidance functionalities. Sensing data are collected and processed locally using the onboard Intel compute stick and an Arduino Nano board. The proposed system can greatly reduce the manpower involved in live outdoor news anchoring.
URI: http://hdl.handle.net/10397/74483
ISBN: 9781467389716
DOI: 10.1109/VCACS.2016.7888783
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