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Pose Machines: Articulated Pose Estimation via Inference Machines
Published on Oct 29, 20144373 Views
State-of-the-art approaches for articulated human pose estimation are rooted in parts-based graphical models. These models are often restricted to tree-structured representations and simple parametric
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Chapter list
Pose Machines: Articulated Pose Estimation via Inference Machines00:00
Goal: Articulated Pose Estimation00:05
Which patch corresponds to a body part? - 100:33
Which patch corresponds to a body part? - 200:49
Which patch corresponds to a body part? - 300:51
Which patch corresponds to a body part? - 400:52
Which patch corresponds to a body part? - 500:58
Which patch corresponds to a body part? - 600:59
Which patch corresponds to a body part? - 701:10
Which patch corresponds to a body part? - 801:11
Which patch corresponds to a body part? - 901:21
Which patch corresponds to a body part? - 1001:33
Which patch corresponds to a body part? - 1101:41
Which patch corresponds to a body part? - 1201:49
Part Detection using Local Image Evidence - 101:56
Part Detection using Local Image Evidence - 202:06
Part Detection using Local Image Evidence - 302:08
Part Detection using Local Image Evidence - 402:17
Part Detection using Local Image Evidence - 502:20
Part Detection using Local Image Evidence - 602:30
Local Image Evidence is Weak - 102:38
Local Image Evidence is Weak - 203:01
Local Image Evidence is Weak - 303:04
Part Context is a Strong Cue - 103:12
Part Context is a Strong Cue - 203:19
Part Context is a Strong Cue - 303:28
Part Context is a Strong Cue - 403:50
Part Context is a Strong Cue - 504:00
Part Context is a Strong Cue - 604:05
Part Context is a Strong Cue - 704:23
Part Context is a Strong Cue - 804:27
Inference Machines for Pose Estimation - 104:32
Inference Machines for Pose Estimation - 204:41
Inference Machines for Pose Estimation - 304:43
Larger Composite Parts are Easier to Detect04:44
Incorporating a Part Hierarchy - 105:04
Incorporating a Part Hierarchy - 205:06
Incorporating a Part Hierarchy - 305:20
Incorporating a Part Hierarchy - 405:21
Incorporating a Part Hierarchy - 5 05:29
Incorporating a Part Hierarchy - 605:33
Incorporating a Part Hierarchy - 705:34
Incorporating a Part Hierarchy - 805:35
Incorporating a Part Hierarchy - 905:39
Incorporating a Part Hierarchy - 1005:39
Incorporating a Part Hierarchy - 1105:45
Incorporating a Part Hierarchy - 1205:47
Incorporating a Part Hierarchy - 1305:48
Incorporating a Part Hierarchy - 1405:56
Incorporating a Part Hierarchy - 1505:59
Incorporating a Part Hierarchy - 1606:20
Incorporating a Part Hierarchy - 1706:24
Incorporating a Part Hierarchy - 1806:35
Incorporating a Part Hierarchy - 1906:56
Incorporating a Part Hierarchy - 2007:06
Incorporating a Part Hierarchy - 2107:16
Incorporating a Part Hierarchy - 2207:17
Temporal Sequence07:20
Pose Machines - 107:39
Pose Machines - 207:48
Pose Machines - 308:01
Pose Machines - 408:08
Pose Machines - 508:24
Pose Machines - 608:24
Pose Machines - 708:38
Inference Machines for Pose Estimation - 108:50
Inference Machines for Pose Estimation - 208:57
Inference Machines for Pose Estimation - 309:08
Inference Machines for Pose Estimation - 409:27
Inference Machines for Pose Estimation - 509:31
Inference Machines for Pose Estimation - 609:36
Double Counting - 109:45
Double Counting - 210:16
Double Counting - 310:21
Double Counting - 410:25
Detection + Pose Estimation - 110:30
Detection + Pose Estimation - 210:36
Detection + Pose Estimation - 310:42
Detection + Pose Estimation - 410:43
Detection + Pose Estimation - 510:45
Detection + Pose Estimation - 610:48
Detection + Pose Estimation - 710:49
Detection + Pose Estimation - 810:51
Detection + Pose Estimation - 910:52
Evaluation: Datasets - 110:53
Evaluation: Datasets - 210:59
Evaluation: FLIC - 111:13
Evaluation: FLIC - 211:35
Evaluation: LEEDS11:45
Analysis12:01
Ablative Spatial Analysis - 112:23
Ablative Spatial Analysis - 212:33
Ablative Spatial Analysis - 312:41
Ablative Spatial Analysis - 412:45
Ablative Spatial Analysis - 512:46
Ablative Spatial Analysis - 612:46
Ablative Spatial Analysis - 712:47
Ablative Spatial Analysis - 812:48
Ablative Spatial Analysis - 912:48
Ablative Spatial Analysis - 1012:49
Ablative Spatial Analysis - 1112:49
Ablative Spatial Analysis - 1212:50
Ablative Spatial Analysis - 1312:50
Ablative Spatial Analysis - 1412:51
Ablative Spatial Analysis - 1512:53
Ablative Spatial Analysis - 1612:54
Ablative Spatial Analysis - 1712:55
Ablative Spatial Analysis - 1812:56
Efficient Prediction (~10 fps)12:56
Conclusions - 113:16
Conclusions - 213:17
Conclusions - 313:21
Conclusions - 413:31
Conclusions - 513:33
Conclusions - 613:35
Thank You13:40