Quality of Life Grand Challenge: Kitchen Capture
Multimodal database of subjects performing the tasks involved in cooking captured with several sensors (audio, video, motion capture, accelerometers / gyroscopes).
Multimodal Action Database (MAD)
The MAD database contains multimodal recordings (video, depth, skeleton) of 35 activities of 20 subjects with annotations for the start and the end of each action. The MAD database is particularly tailored to address activity detection (not classification) in video.
|Robust Principal Component Analysis (17MB)|
|Feature Selection for SVM|
|Joint Localization and Classification|
|Max-Margin Early Event Detectors|
|Aligned Cluster Analysis (ACA)|
|Canonical Time Warping (CTW)|
|Generalized Time Warping (GTW)|
|Factorized Graph Matching (FGM)|
|Temporal Commonality Discovery|