Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps

Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image processing. Two models are built for each gesture category and, along with appropriate distance metrics, produce a validated classification mechanism that performs consistently during experiments on acted gestures video sequences.

• Type: Conference
• Year: 2007
• Where: ICANN
• Authors: George Caridakis, Christos Pateritsas, Athanasios I. Drosopoulos, Andreas Stafylopatis, Stefanos D. Kollias
• Keywords: Gestures Video Sequences, Hand Gestures, ICANN 2007, Probabilistic Recognition Scheme