| Contents |
The group and crowd analysis interdisciplinary challenge / Vittorio Murino, Marco Cristani, Shishir Shah, Silvio Savarese -- Social interaction in temporary gatherings / Chiara Bassetti -- Group detection and tracking using sociological features / Sebastiano Vascon, Loris Bazzani -- Exploring multitask and transfer learning algorithms for head pose estimation in dynamic multiview scenarios / Elisa Ricci, Yan Yan, Anoop K. Rajagopal, Ramanathan Subramanian, Radu L. Vieriu, Oswald Lanz, Nicu Sebe -- The analysis of high density crowds in videos / Mikel Rodriguez, Josef Sivic, Ivan Laptev -- Tracking millions of humans in crowded spaces / Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei -- Subject-centric group feature for person reidentification / Li Wei, Shishir K. Shah. -- From groups to leaders and back / Francesco Solera, Simone Calderara, Rita Cucchiara -- Learning to predict human behavior in crowded scenes / Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese -- Deep learning for scene-independent crowd analysis / Xiaogang Wang, Chen-Change Loy -- Physics-inspired models for detecting abnormal behaviors in crowded scenes / Sadegh Mohammadi, Hamed K. Galoogahi, Alessandro Perina, Vittorio Murino -- Activity forecasting / Kris M. Kitani, De-An Huang, Wei-Chiu Ma -- Integrating computer vision algorithms and ontologies for spectator crowd behavior analysis / Davide Conigliaro, Roberta Ferrario, Céline Hudelot, Daniele Porello -- SALSA: a multimodal dataset for the automated analysis of free-standing social interactions / Xavier Alameda-Pineda, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe -- Zero-shot crowd behavior recognition / Xun Xu, Shaogang Gong, Timothy M. Hospedales -- The GRODE metrics / Francesco Setti, Marco Cristani -- Realtime pedestrian tracking and prediction in dense crowds / Aniket Bera, David Wolinski, Julien Pettré, Dinesh Manocha. |
