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ICML
2009
IEEE
14 years 9 months ago
Deep learning from temporal coherence in video
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
Hossein Mobahi, Ronan Collobert, Jason Weston
ECAI
2000
Springer
14 years 1 months ago
Action Categorization from Video Sequences
This article presents a framework for extracting relevant qualitative chunks from a video sequence. The notion of qualitative descriptors, used to perform the qualitative extracti...
Jean-Christophe Baillie, Jean-Gabriel Ganascia
CVPR
2009
IEEE
15 years 4 months ago
Recognizing Realistic Actions from Videos in the Wild
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...
AVSS
2005
IEEE
14 years 2 months ago
Video surveillance for aircraft activity monitoring
— This paper presents a complete visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules — Scene Tracking and Scen...
Mark Borg, David Thirde, James M. Ferryman, Floren...
ICPR
2010
IEEE
13 years 11 months ago
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitori...
Svebor Karaman, Jenny Benois-Pineau, Remi Megret, ...