Context-based detection and classification of actions

摘要

Actions or activities occurring within an environment may be detected, recognized and classified based on the presence or absence of objects within the environment, which may be recognized within imaging data. The states or changes in states of the objects may be tracked within the imaging data and associated with one or more actions or activities with various probabilities. By tracking the motion of objects, rather than the motion of humans or other actors, the detection and classification of actions or activities may be performed more quickly and efficiently, and may be used to determine the timing associated with one or more steps of such activities, as well as whether each of the steps of an activity has been satisfactorily performed and in an appropriate order.