This repository provides a Python implementation of the PROST algorithm proposed in "PROST: Parallel robust online simple tracking". Additionally, this repository also provides some variants which replace the ORF with other methods for object detection such as Neural Networks (e.g., CNN) and classic Cascading Classifiers.
The algorithm is implemented with OpenCV, NumPy and PyTorch.
The PROST algorithm has 3 components that work in a cascade manner.
