Object Tracking with Particle Filters In Python

Computer vision has made rapid progress in the last few years, thanks to improvements in training data and algorithms, as well as the availability of cheap GPUs and abundant labeled training datasets. One of the primary computer vision tasks is object tracking. Object tracking is used in the vast majority of applications such as video surveillance, car tracking, people detection, and tracking, etc. We will use a particle filter to track a moving object. Particle filters are powerful and efficient solutions to problems in robotics, artificial intelligence, and even finance.