Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks
In this thesis, a generic object tracker was constructed that was applied to both a commonly used tracking dataset using a regular computer as well as a robot powered by a small NVIDIA computer. The architecture of the tracker consisted of two parallel convolutional neural networks convolving to a single output. The input consisted of two separate cropped images that were fed into the networks sep