multiple hypothesis tracking

Multiple hypothesis tracking (MHT) is a method used in target detection and tracking systems to manage multiple possible scenarios simultaneously. When new information, like signals or objects, is received, the system considers various potential matches or paths for each, creating different hypotheses. Over time, it evaluates these hypotheses based on how well they fit the data, updating their likelihoods. This approach helps accurately track multiple objects, especially in cluttered or uncertain environments, by maintaining and refining several possible interpretations until the most probable ones are identified.