Recognizing periodic actions: invariants for visual discrimination between human gait patterns
Nikolaus F. Troje · 2001
The human visual system is highly sensitive to animate motion patterns. It is able to classify and identify motion patterns on several levels ranging from the recognition of an action to the identification of the actor. How is such information encoded in visual motion data? We present a computational model that transforms visual motion data into a representation that allows identification of diagnostic invariants and we test the model for its ability to discriminate between human walking and running.