Airborne visual tracking and reidentification system

Kunal Saini; Kajal Kansal; A. Subramanyam Venkata

doi:10.1117/1.JEI.28.2.023003

5 March 2019 Airborne visual tracking and reidentification system

Kunal Saini, Kajal Kansal, A. Subramanyam Venkata

Author Affiliations +

Journal of Electronic Imaging, Vol. 28, Issue 2, 023003 (March 2019). https://doi.org/10.1117/1.JEI.28.2.023003

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.

Citation Download Citation

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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