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Learning structured models for recognizing human actions
Published on Aug 24, 20113916 Views
**//Disclaimer:// There may be mistakes or omissions in the interpretation as the interpreters are not experts in the field of interest and performed a simultaneous translation without comprehensive p
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Chapter list
Learning Structured Models for Recognizing Human Actions00:00
Applications – Scientific Data Collection00:02
Applications - HCI00:52
Applications – Human Robot Interaction01:08
Structured Models01:35
Previous Work01:55
Large vs. Small Scale Features02:11
Hidden Conditional Random Field02:26
Inferred Part Labels03:59
Learning hCRF Parameters04:21
Conditional Likelihood vs. Max ‐ Margin04:50
Outline - 205:42
Goal06:11
Previous work06:43
Discriminative Pose07:14
Pose Representation08:55
Model Formulation - 109:32
Model Formulation - 209:51
Model Formulation - 310:18
Full Model10:37
Experiments10:44
Visualization of latent pose10:56
Outline - 311:37
Group Activity Recognition - 115:40
Group Activity Recognition - 216:20
Latent Structured Model16:46
Difference from Previous Work17:32
Nursing Home Dataset17:56
Results – Nursing Home Dataset18:07
Results – Correct Examples18:32
Results – Incorrect Examples18:47
Conclusion18:48
Acknowledgements19:14