Apparatus, methods, systems and devices for identifying and tracking a human hand in a video. The steps for identifying the hand includes detecting parallel lines (bars), detecting curved fingertips (curves), grouping the detected parallel lines and curved fingertips according to a parallel line decision tree and a curved fignertip decision tree, respectively, and merging the parallel line group and the curved fingertip group to identify candidate hands.
Application Serial Number
Assignee at Issuance
College of Engineering and Computer Science (CECS)
Assignee at Filing
Nonprovisional Application Record
Da Vitoria Lobo, Niels and Caglar, Mehmet, "Self Correcting Tracking of Moving Objects in Video" (2011). UCF Patents. 502.