Multi-Hypothesis Tracking

Multi-Hypothesis Tracking is a technique used primarily in areas like robotics and computer vision to keep track of multiple possible locations or states of an object over time. Instead of choosing a single best guess, it considers several potential scenarios simultaneously. For example, if a car is observed moving, the system predicts various paths it might take, updating these predictions as new information comes in. This approach helps improve accuracy by accounting for uncertainty, allowing the system to adapt as the situation changes and ensuring it can identify the correct path or behavior of the object.