Object tracking is an essential capability in many computer vision systems, including applications in fields such as traffic control, self-driving vehicles, sports and more. In this session, we’ll walk through the construction of a typical MOT algorithm step by step. At each step, we’ll identify key challenges and explore design choices (for example, detection-based vs. detection-free approaches and online vs. offline tracking). We’ll discuss available off-the-shelf MOT algorithms and open-source libraries. We’ll also identify areas where current MOT algorithms fall short. And we’ll introduce metrics and benchmarks commonly used to evaluate MOT solutions.