default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGroup and Crowd Behavior for Computer Vision 2017
- Vittorio Murino, Marco Cristani, Shishir Shah, Silvio Savarese:
Group and Crowd Behavior for Computer Vision, 1st Edition. Academic Press 2017, ISBN 978-0-12-809276-7 - Front Matter.
- Copyright.
- About the Editors.
- Vittorio Murino
, Marco Cristani, Shishir Shah, Silvio Savarese:
The Group and Crowd Analysis Interdisciplinary Challenge. 1-11
Part 1: Features and Representations
- Chiara Bassetti:
Social Interaction in Temporary Gatherings: A Sociological Taxonomy of Groups and Crowds for Computer Vision Practitioners. 15-28 - Sebastiano Vascon, Loris Bazzani:
Group Detection and Tracking Using Sociological Features. 29-66 - Elisa Ricci, Yan Yan, Anoop Kolar Rajagopal, Ramanathan Subramanian, Radu L. Vieriu, Oswald Lanz, Nicu Sebe:
Exploring Multitask and Transfer Learning Algorithms for Head Pose Estimation in Dynamic Multiview Scenarios. 67-87 - Mikel Rodriguez, Josef Sivic, Ivan Laptev:
The Analysis of High Density Crowds in Videos. 89-113 - Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei:
Tracking Millions of Humans in Crowded Spaces. 115-135 - Li Wei, Shishir K. Shah:
Subject-Centric Group Feature for Person Reidentification. 137-157
Part 2: Group and Crowd Behavior Modeling
- Francesco Solera, Simone Calderara, Rita Cucchiara:
From Groups to Leaders and Back: Exploring Mutual Predictability Between Social Groups and Their Leaders. 161-182 - Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese:
Learning to Predict Human Behavior in Crowded Scenes. 183-207 - Xiaogang Wang, Chen Change Loy:
Deep Learning for Scene-Independent Crowd Analysis. 209-252 - Sadegh Mohammadi, Hamed Kiani Galoogahi, Alessandro Perina, Vittorio Murino:
Physics-Inspired Models for Detecting Abnormal Behaviors in Crowded Scenes. 253-272 - Kris M. Kitani, De-An Huang, Wei-Chiu Ma:
Activity Forecasting: An Invitation to Predictive Perception. 273-294
Part 3: Metrics, Benchmarks and Systems
- Davide Conigliaro, Roberta Ferrario, Céline Hudelot, Daniele Porello:
Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis. 297-319 - Xavier Alameda-Pineda, Ramanathan Subramanian, Elisa Ricci, Oswald Lanz, Nicu Sebe:
SALSA: A Multimodal Dataset for the Automated Analysis of Free-Standing Social Interactions. 321-340 - Xun Xu, Shaogang Gong, Timothy M. Hospedales:
Zero-Shot Crowd Behavior Recognition. 341-369 - Francesco Setti, Marco Cristani:
The GRODE Metrics: Exploring the Performance of Group Detection Approaches. 371-390 - Aniket Bera, David Wolinski, Julien Pettré, Dinesh Manocha:
Realtime Pedestrian Tracking and Prediction in Dense Crowds. 391-415 - Subject Index. 417-424
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-27 23:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
