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A Random Forest Approach to Segmenting and Classifying Gestures
Published on Jul 02, 20152162 Views
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Chapter list
A random forest approach to segmenting and classifying gestures00:00
Introduction00:22
Examples of specific applications00:44
Gesture spotting and recognition01:32
Problem Definition02:02
Related work02:24
Random forests03:14
Information Gain03:40
Random forests have been used to good effect in:03:52
Framework - 104:10
Framework - 204:19
Framework - 304:22
Framework - 404:32
Framework - 504:37
Training: Input 04:50
Training: Feature Extraction05:21
Training: Gesture Representation06:05
Training: Initial Random Forest Training06:29
Training: Test on continuous input of training set 06:53
Training: Collection of hard negatives07:28
Training: Iterative Random Forest Training07:45
Testing08:00
Datasets08:35
Chalearn09:04
Experimental results - 109:30
Experimental results - 209:51
Experimental results - 310:10
Experimental results - 410:44
Experimental results - 510:59
Experimental results - 611:17
Discussion11:49
Thank you!12:48