Ko Nishino – författare

Over the last several years there has been a growing interest in developing computational methodologies for modeling and analyzing movements and behaviors of ‘crowds' of people. This interest spans several scientific areas that includes Computer Vision, Computer Graphics, and Pedestrian Evacuation Dynamics. Despite the fact that these different scientific fields are trying to model the same physical entity (i.e. a crowd of people), research ideas have evolved independently. As a result each discipline has developed techniques and perspectives that are characteristically their own. The goal of this book is to provide the readers a comprehensive map towards the common goal of better analyzing and synthesizing the pedestrian movement in dense, heterogeneous crowds. The book is organized into different parts that consolidate various aspects of research towards this common goal, namely the modeling, simulation, and visual analysis of crowds. Through this book, readers will see the common ideas and vision as well as the different challenges and techniques, that will stimulate novel approaches to fully grasping “crowds."

Over the last several years there has been a growing interest in developing computational methodologies for modeling and analyzing movements and behaviors of ‘crowds' of people. This interest spans several scientific areas that includes Computer Vision, Computer Graphics, and Pedestrian Evacuation Dynamics. Despite the fact that these different scientific fields are trying to model the same physical entity (i.e. a crowd of people), research ideas have evolved independently. As a result each discipline has developed techniques and perspectives that are characteristically their own. The goal of this book is to provide the readers a comprehensive map towards the common goal of better analyzing and synthesizing the pedestrian movement in dense, heterogeneous crowds. The book is organized into different parts that consolidate various aspects of research towards this common goal, namely the modeling, simulation, and visual analysis of crowds. Through this book, readers will see the common ideas and vision as well as the different challenges and techniques, that will stimulate novel approaches to fully grasping “crowds."

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

W28 - Computational Aspectsof Deep Learning;Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W31 - Compositional and Multimodal Perception;Part VIII: W32 - Uncertainty Quantification for Computer Vision;

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. Computational Photography and Image Processing; Image Attributes, Language, and Recognition;

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions.

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions.

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions.

The five-volume set LNCS 10111-10115 constitutes the thoroughly refereed post-conference proceedings of the 13th Asian Conference on Computer Vision, ACCV 2016, held in Taipei, Taiwan, in November 2016. The total of 143 contributions presented in these volumes was carefully reviewed and selected from 479 submissions.