Object tracking with dlib - PyImageSearch

This tutorial will teach you how to perform object tracking using dlib and Python. After reading today's blog post you will be able to track objects in real-time video with dlib. A couple months ago we discussed centroid tracking, a simple, yet effective method to (1) assign unique IDs to each object in an image and then (2) track each of the objects and associated IDs as they move around in a video stream. The biggest downside to this object tracking algorithm is that a separate object detector has to be run on each and every input frame -- in most situations, this behavior is undesirable as object detectors, including HOG Linear SVM, Faster R-CNNs, and SSDs can be computationally expensive to run. Is such a method possible?