(Indiana Univ.)
(SFU)
(CMU)
CVPR 2018 Tutorial on
Human Activity Recognition
Tutorial Date | June 18th, 2018 (Location: Room 255 EF) |
(Indiana Univ.) | (SFU) | (CMU) |
In the recent years, the field of human activity recognition has grown dramatically, reflecting its importance in many high-impact societal applications including smart surveillance, web-video search and retrieval, quality-of-life devices for elderly people, and robot perception. With the initial success of convolutional network models to learn video representations, the field is gradually moving towards detecting and forecasting more complex human activities involving multiple people, objects, and sub-events in various realistic scenarios. New important research topics and problems are appearing as a consequence, including (i) reliable spatio-temporal localization of activities, (ii) end-to-end modeling of activities’ temporal structure and hierarchy, (iii) group activity recognition, (iv) activity forecasting, as well as (v) construction of large-scale datasets and convolutional models. The objective of this tutorial is to introduce and overview recent progress in these emerging topics, as well as to discuss, motivate and encourage future research in diverse subfields of activity recognition.
Joao Carreira is a research scientist at DeepMind. Previously he was a postdoc at UC Berkeley and before that he did his PhD at the University of Bonn. His interests are now mainly in video modeling and representation; before, he did some of the early work on object proposals, as well as venturing into class-specific reconstruction, human pose estimation and semantic segmentation. Joao is one of the creators of the Kinetics dataset and is the first author of the I3D video CNN model. | ||
Gunnar A. Sigurdsson is a PhD candidate in the Robotics Institute at Carnegie Mellon University, advised by Abhinav Gupta. He is the main author of the Charades dataset released in 2016, designed for classification and detection of daily human activities in continuous videos. |
1330 Introduction
1350 Spatio-Temporal Activity Detection, Greg Mori (SFU)
1410 Learning Temporal Hierarchy, Michael Ryoo (Indiana Univ.)
1440 Invited Talk: Kinetics 600, Joao Carreira (DeepMind)
1505 Invited Talk: Observing Humans in their Natural Habitat: Datasets & Models, Gunnar Sigurdsson (CMU)
1530 Coffee Break
1600 Group Activity Recognition, Greg Mori (SFU)
1620 Activity Forecasting, Nick Rhinehart (CMU)
1650 Emerging Topics (Including Privacy-Preservation), Michael Ryoo (Indiana Univ.)
