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Action Recognition with Exemplar Based 2.5D Graph Matching
Published on 2012-11-126898 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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Presentation
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