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Recognizing a person's motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recognizing human actions. We develop a novel descriptor, the Human Action Image (HAI), a physically-significant, compact representation for the motion of a person, which we derive from Hamilton's Action. 1 We prove the additivity of Hamilton's Action in order to formulate the HAI and then embed the HAI as the Motion Energydoi:10.1145/1924559.1924560 dblp:conf/icvgip/SethiC10 fatcat:fduyxt6sinh4pikka7j2x5bfku