Group and crowd behavior for computer vision
Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:52129/TOC |
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Vrsta građe: | Knjiga |
Jezik: | eng |
Impresum: |
Elsevier Inc,
2017.
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Nakladnička cjelina: |
Computer vision and pattern recognition series
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Predmet: |
Sadržaj:
- 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.