Part 4: Random Finite Sets
24 videos • 44,037 views • by Multiple Object Tracking In these videos we teach you about Random Finite Sets (RFS) and Finite Set Statistics (FISST) which is a mathematical framework that is useful when dealing with Multiple Object Tracking (MOT) problems. We learn about the definition of RFS, as well as common RFSs such as the Poisson Point Process, the Bernoulli Process and the Multi-Bernoulli process. We teach the Probability Hypothesis Density tracking filter, as well as MOT performance evaluation using the Generalized Optimal Sub-Pattern Assignment (GOSPA) metric. This playlist contains the third of six parts of the Multiple Object Tracking (MOT) course. The other parts are 1. Introduction to Multi-object Tracking https://www.youtube.com/watch?v=ay_QL... 2. Single-object Tracking in Clutter https://www.youtube.com/watch?v=UpXpU... 3. Tracking n Objects in Clutter https://www.youtube.com/watch?v=MdW25... 4. Random Finite Sets https://www.youtube.com/watch?v=y3nIz... 5. MOT Using Conjugate Priors https://www.youtube.com/watch?v=m3dso... 6. Outlook - What's Next? https://www.youtube.com/watch?v=rolck...