The invention comprises an improved system, method, and computer-readable instructions for recognizing pose and action of articulated objects with collection of planes in motion. The method starts with a video sequence and a database of reference sequences corresponding to different known actions. The method identifies the sequence from the reference sequences such that the subject in performs the closest action to that observed. The method compares actions by comparing pose transitions. The cross-homography invariant may be used for view-invariant recognition of human body pose transition and actions.
Application Serial Number
Assignee at Issuance
College of Engineering and Computer Science (CECS)
Electrical Engineering & Computer Science - CS Division
Assignee at Filing
Nonprovisional Application Record
Foroosh, Hassan and Shen, Yuping, "Methods for Recognizing Pose and Action of Articulated Objects with Collection of Planes in Motion" (2014). UCF Patents. 377.