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Action Recognition with Exemplar Based 2.5D Graph Matching
Published on Nov 12, 20126891 Views
This paper deals with recognizing human actions in still images. We make two key contributions. (1) We propose a novel, 2.5D representation of action images that considers both viewindependent pose in
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Action Recognition with Exemplar Based 2.5D Graph Matching00:00
Action Recognition in Still Images (1)00:07
Action Recognition in Still Images (2)00:18
Action Recognition in Still Images (3)00:26
Action Recognition in Still Images (4)00:26
Action Recognition in Still Images (5)00:33
Action Recognition in Still Images (6)01:07
Action Recognition in Still Images (7)01:14
Action Recognition in Still Images (8)01:22
Outline (1)01:36
Outline (2)01:49
2.5D Representation of Actions (1)01:50
2.5D Representation of Actions (2)01:54
2.5D Representation of Actions (3)02:04
2.5D Representation of Actions (4)02:12
2.5D Representation of Actions (5)02:22
Estimating 2D Key Points02:52
Converting 2D Key Points to 3D03:19
Outline (3)04:23
Matching Two 2.5D Graphs (1)04:29
Matching Two 2.5D Graphs (2)04:57
Exemplar Based Action Recognition (1)05:11
Exemplar Based Action Recognition (2)05:22
Exemplar Based Action Recognition (3)05:28
Exemplar Based Action Recognition (4)05:35
Finding Dominating Images (1)05:45
Finding Dominating Images (2)06:12
Finding Dominating Images (3)06:19
Finding Dominating Images (4)06:27
Outline (4)06:38
PPMI: Dataset06:41
PPMI: Results (1)06:53
PPMI: Results (2)07:09
PPMI: Results (3)07:36
PPMI: Results (4)07:52
36 PPMI: Dominating Images (1)08:41
36 PPMI: Dominating Images (2)08:57
PASCAL 2011: Dataset09:07
PASCAL 2011: Pose Estimation09:10
PASCAL 2011: Results (1)09:34
PASCAL 2011: Results (2)09:47
PASCAL 2011: Results (3)10:06
Conclusion10:29
Acknowledgement10:46