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Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts

Published on 2014-04-032119 Views

The objective of this work is to estimate upper body pose for signers in TV broadcasts. Given suitable training data, the pose is estimated using a random forest body joint detector. However, obtain

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Domain Adapta,on for Upper Body Pose Tracking in Signed TV Broadcasts00:00
Motivation: Automatic sign language recognition00:00
Introduction00:35
Problem - 101:07
Problem - 201:27
Problem - 301:42
One solution - 101:57
One solution - 202:06
One solution - 302:11
Key idea in this paper - 102:34
Key idea in this paper - 202:53
Example: Tracking signers wearing short sleeves - 103:08
Example: Tracking signers wearing short sleeves - 203:35
Related work03:50
Method04:18
Existing method for signers with long sleeves - 104:43
Existing method for signers with long sleeves - 205:25
Existing method for signers with long sleeves - 305:39
Existing method for signers with long sleeves - 405:50
Solution06:30
Method overview - 106:52
Method overview - 207:21
Method overview - 307:32
Method overview - 407:44
Method detail - 108:06
Method detail - 208:30
Method detail - 308:53
Method detail - 408:58
Method detail - 509:29
Method detail - 609:30
Method detail - 709:39
Method : Template personalisation - 110:01
Method : Template personalisation - 210:19
Method : Template personalisation - 310:22
Method : Template personalisation - 411:01
Method : Template personalisation - 511:24
Method : Template personalisation - 611:43
Method : Template personalisation - 711:53
Method detail - 812:11
Method detail - 912:20
Method detail - 1012:26
Method : example output12:31
Results12:57
Dataset - 113:04
Dataset - 213:21
Quantitative results - 113:37
Quantitative results - 214:01
Quantitative results - 314:42
Conclusion15:02