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» Discovering Motion Patterns for Human Action Recognition
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CVPR
2009
IEEE
14 years 2 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
ICCV
2007
IEEE
14 years 9 months ago
Event Detection in Crowded Videos
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segmen...
Yan Ke, Rahul Sukthankar, Martial Hebert
HAPTICS
2002
IEEE
14 years 19 days ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
ICIAP
2009
ACM
14 years 2 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...
CHI
2009
ACM
14 years 8 months ago
Tactile motion instructions for physical activities
While learning new motor skills, we often rely on feedback from a trainer. Auditive feedback and demonstrations are used most frequently, but in many domains they are inappropriat...
Daniel Spelmezan, Mareike Jacobs, Anke Hilgers, Ja...