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5 March 2019 Airborne visual tracking and reidentification system
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Abstract
Visual tracking and reidentification has gathered a lot of attention in real-world surveillance applications. We explore on-board visual tracking and reidentification of a person from a moving camera, such as a drone. We develop an android application which can communicate with the drone and transmit roll, pitch, and vertical upthrust instructions. We use a kernelized correlation filter tracker for tracking the person, and for the reidentification task we apply a deep three-dimensional ConvNet. The experiments demonstrate a robust performance.
© 2019 SPIE and IS&T 1017-9909/2019/$25.00 © 2019 SPIE and IS&T
Kunal Saini, Kajal Kansal, and A. Subramanyam Venkata "Airborne visual tracking and reidentification system," Journal of Electronic Imaging 28(2), 023003 (5 March 2019). https://doi.org/10.1117/1.JEI.28.2.023003
Received: 12 September 2018; Accepted: 8 February 2019; Published: 5 March 2019
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