Meaningful objects in a scene move with purpose. In this work, a Hidden Markov Model is used to represent the “hidden” regularities behind the apparent object movement in a scene and reproduce such regularities as “blind” expectations. By adapting the weights on beliefs with new visual evidence, an Augmented Hidden Markov Model is used to produce dynamic expectations of moving objects in the sc...
