By George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ioannis Pavlidis, Rogerio Feris, Tim McGraw, Mark Elendt, Regis Kopper, Eric Ragan, Zhao Ye, Gunther Weber
The quantity set LNCS 9474 and LNCS 9475 constitutes the refereed complaints of the eleventh foreign Symposium on visible Computing, ISVC 2015, held in Las Vegas, NV, united states in December 2015.
The one hundred fifteen revised complete papers and 35 poster papers offered during this ebook have been rigorously reviewed and chosen from 260 submissions. The papers are geared up in topical sections: half I (LNCS 9474) includes computational bioimaging; special effects; movement and monitoring; segmentation; acceptance; visualization; mapping; modeling and floor reconstruction; advancing autonomy for aerial robotics; scientific imaging; digital fact; watching people; spectral imaging and processing; clever transportation platforms; visible notion and robot platforms. half II (LNCS 9475): functions; 3D laptop imaginative and prescient; special effects; segmentation; biometrics; trend attractiveness; popularity; and digital reality.
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Extra resources for Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II (Lecture Notes in Computer Science)
Kazuhiro Nagai and Paul Rosen 328 Deep Learning of Neuromuscular Control for Biomechanical Human Animation. . . . . . . . . . . . . . . . . . . . . Masaki Nakada and Demetri Terzopoulos 339 NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson’s Disease . . . . . . . . . . . . . . . . . . . . José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro A. Orozco, Mauricio A. Álvarez, and Enrique Guijarro 349 XXXIV Contents – Part I ST: 3D Mapping, Modeling and Surface Reconstruction Generation of 3D/4D Photorealistic Building Models.
Christos Papachristos, Dimos Tzoumanikas, Kostas Alexis, and Anthony Tzes Inspection Operations Using an Aerial Robot Powered-over-Tether by a Ground Vehicle . . . . . . . . . . . . . . . . . . . . Lida Zikou, Christos Papachristos, Kostas Alexis, and Anthony Tzes 419 432 444 455 Autonomous Guidance for a UAS Along a Staircase . . . . . . . . . Olivier De Meyst, Thijs Goethals, Haris Balta, Geert De Cubber, and Rob Haelterman 466 Nonlinear Controller of Quadcopters for Agricultural Monitoring .
However, to the best of our knowledge, no systematic research on automated habit detection or habit analysis has been conducted. We believe this is because the variety of habits is quite broad, making it diﬃcult to apply conventional methodologies. In this study, we propose an automated habit detection system that utilizes the Kinect sensor. Considering the further applicability of this system, we analyze the behavior of the subjects during conversation. 2 Habit Detection System First, we deﬁne a habit as some motion that is signiﬁcantly diﬀerent from our common behaviors.