Matthew Turk is a professor of Computer Science and former chair of the Media Arts and Technology program at the University of California, Santa Barbara, where he co-directs the UCSB Four Eyes Lab, focused on the ""four I's"" of Imaging, Interaction, and Innovative Interfaces. He received a B.S. from Virginia Tech, an M.S. from Carnegie Mellon University, and a Ph.D. from the Massachusetts Institute of Technology. Before joining UCSB in 2000, he worked at Microsoft Research, where he was a founding member of the Vision Technology Group in 1994. He is on the editorial board of the ACM Transactions on Intelligent Interactive Systems and the Journal of Image and Vision Computing, and he serves on advisory boards for the ACM International Conference on Multimodal Interaction and the IEEE International Conference on Automatic Face and Gesture Recognition. Prof. Turk was a general chair of the 2006 ACM Multimedia Conference and the 2011 IEEE Conference on Automatic Face and Gesture Recognition and is general chair of the upcoming 2014 IEEE Conference on Computer Vision and Pattern Recognition. He has received several best paper awards, most recently at the 2012 International Symposium on Mixed and Augmented Reality (ISMAR). He is an IEEE Fellow and the recipient of the 2011-2012 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies.Gang Hua is an Associate Professor of Computer Science at Stevens Institute of Technology. He also currently holds an Academic Advisor position at IBM T. J. Watson Research Center. He was a Consulting Researcher at Microsoft Research in 2012. Before joining Stevens, he had worked as a full-time researcher at leading industrial research labs for IBM, Nokia, and Microsoft. He received the Ph.D. degree in Electrical and Computer Engineering from Northwestern University in 2006. His research in computer vision studies the interconnections and synergies among the visual data, the semantic and situated context, and the users in the expanded physical world, which can be categorized into three themes: human centered visual computing, big visual data analytics, and vision-based cyber-physical systems. He is on the editorial board of IEEE Transactions on Image Processing and the IAPR Journal of Machine Vision and Applications.

• Preface.- Acknowledgments.- Figure Credits.- Introduction.- Awareness: Detection and Recognition.- Control: Visual Lexicon Design for Interaction.- Multimodal Integration.- Applications of Vision-Based Interaction.- Summary and Future Directions.- Bibliography.- Authors' Biographies.

Matthew Turk is a professor of Computer Science and former chair of the Media Arts and Technology program at the University of California, Santa Barbara, where he co-directs the UCSB Four Eyes Lab, focused on the ""four I's"" of Imaging, Interaction, and Innovative Interfaces. He received a B.S. from Virginia Tech, an M.S. from Carnegie Mellon University, and a Ph.D. from the Massachusetts Institute of Technology. Before joining UCSB in 2000, he worked at Microsoft Research, where he was a founding member of the Vision Technology Group in 1994. He is on the editorial board of the ACM Transactions on Intelligent Interactive Systems and the Journal of Image and Vision Computing, and he serves on advisory boards for the ACM International Conference on Multimodal Interaction and the IEEE International Conference on Automatic Face and Gesture Recognition. Prof. Turk was a general chair of the 2006 ACM Multimedia Conference and the 2011 IEEE Conference on Automatic Face and Gesture Recognition and is general chair of the upcoming 2014 IEEE Conference on Computer Vision and Pattern Recognition. He has received several best paper awards, most recently at the 2012 International Symposium on Mixed and Augmented Reality (ISMAR). He is an IEEE Fellow and the recipient of the 2011-2012 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies.Gang Hua is an Associate Professor of Computer Science at Stevens Institute of Technology. He also currently holds an Academic Advisor position at IBM T. J. Watson Research Center. He was a Consulting Researcher at Microsoft Research in 2012. Before joining Stevens, he had worked as a full-time researcher at leading industrial research labs for IBM, Nokia, and Microsoft. He received the Ph.D. degree in Electrical and Computer Engineering from Northwestern University in 2006. His research in computer vision studies the interconnections and synergies among the visual data, the semantic and situated context, and the users in the expanded physical world, which can be categorized into three themes: human centered visual computing, big visual data analytics, and vision-based cyber-physical systems. He is on the editorial board of IEEE Transactions on Image Processing and the IAPR Journal of Machine Vision and Applications.

• Preface.- Acknowledgments.- Figure Credits.- Introduction.- Awareness: Detection and Recognition.- Control: Visual Lexicon Design for Interaction.- Multimodal Integration.- Applications of Vision-Based Interaction.- Summary and Future Directions.- Bibliography.- Authors' Biographies.

Matthew Turk is a professor of Computer Science and former chair of the Media Arts and Technology program at the University of California, Santa Barbara, where he co-directs the UCSB Four Eyes Lab, focused on the ""four I's"" of Imaging, Interaction, and Innovative Interfaces. He received a B.S. from Virginia Tech, an M.S. from Carnegie Mellon University, and a Ph.D. from the Massachusetts Institute of Technology. Before joining UCSB in 2000, he worked at Microsoft Research, where he was a founding member of the Vision Technology Group in 1994. He is on the editorial board of the ACM Transactions on Intelligent Interactive Systems and the Journal of Image and Vision Computing, and he serves on advisory boards for the ACM International Conference on Multimodal Interaction and the IEEE International Conference on Automatic Face and Gesture Recognition. Prof. Turk was a general chair of the 2006 ACM Multimedia Conference and the 2011 IEEE Conference on Automatic Face and Gesture Recognition and is general chair of the upcoming 2014 IEEE Conference on Computer Vision and Pattern Recognition. He has received several best paper awards, most recently at the 2012 International Symposium on Mixed and Augmented Reality (ISMAR). He is an IEEE Fellow and the recipient of the 2011-2012 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies.Gang Hua is an Associate Professor of Computer Science at Stevens Institute of Technology. He also currently holds an Academic Advisor position at IBM T. J. Watson Research Center. He was a Consulting Researcher at Microsoft Research in 2012. Before joining Stevens, he had worked as a full-time researcher at leading industrial research labs for IBM, Nokia, and Microsoft. He received the Ph.D. degree in Electrical and Computer Engineering from Northwestern University in 2006. His research in computer vision studies the interconnections and synergies among the visual data, the semantic and situated context, and the users in the expanded physical world, which can be categorized into three themes: human centered visual computing, big visual data analytics, and vision-based cyber-physical systems. He is on the editorial board of IEEE Transactions on Image Processing and the IAPR Journal of Machine Vision and Applications.

• Preface.- Acknowledgments.- Figure Credits.- Introduction.- Awareness: Detection and Recognition.- Control: Visual Lexicon Design for Interaction.- Multimodal Integration.- Applications of Vision-Based Interaction.- Summary and Future Directions.- Bibliography.- Authors' Biographies.