This is a reimplementation of the Re3 tracker, originally seen in this paper.
The code base is a pytorch implementation from the open sourced version of Re3 found here which is implemented in Tensorflow.
Inspiration was also taken from (https://github.com/AbhishekKumar16/CV_Project)
If you use this work please cite the original authors
D. Gordon, A. Farhadi and D. Fox, "Re^3: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects," in IEEE Robotics and Automation Letters, vol. 3, no. 2, pp. 788-795, April 2018.
doi: 10.1109/LRA.2018.2792152
keywords: {object tracking;recurrent regression networks;generic tracker;real-time deep object tracker;robust object tracking;visual tracking;comparable trackers;Re;FPS;Agriculture;Object tracking;Robots;Real-time systems;Streaming media;Target tracking;Visual tracking;deep learning in robotics and automation;visual learning},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8253805&isnumber=8214927
}