Paper
23 January 2017 An object tracking algorithm with embedded gyro information
Author Affiliations +
Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103220U (2017) https://doi.org/10.1117/12.2266010
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
Abstract
The high speed attitude maneuver of Unmanned Aerial Vehicle (UAV) always causes large motion between adjacent frames of the video stream produced from the camera fixed on the UAV body, which will severely disrupt the performance of image object tracking process. To solve this problem, this paper proposes a method that using a gyroscope fixed on the camera to measure the angular velocity of camera, and then the object position’s substantial change in the video stream is predicted. We accomplished the object tracking based on template matching. Experimental result shows that the object tracking algorithm’s performance is improved in its efficiency and robustness with embedded gyroscope information.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yutong Zhang, Ding Yan, and Yating Yuan "An object tracking algorithm with embedded gyro information", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103220U (23 January 2017); https://doi.org/10.1117/12.2266010
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KEYWORDS
Cameras

Gyroscopes

Detection and tracking algorithms

Unmanned aerial vehicles

Image processing

Imaging systems

Velocity measurements

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