1 Hierarchical Part- Hierarchical Part- Based Human Body Pose Based Human Body Pose Estimation Estimation * Ram anan Navaratnam * Arasanathan Thayananthan † Prof. Phil Torr * Prof. Roberto Cipolla * University Of Cambridge † Oxford Brookes University
44
Embed
1 Hierarchical Part-Based Human Body Pose Estimation * Ramanan Navaratnam * Arasanathan Thayananthan Prof. Phil Torr * Prof. Roberto Cipolla * University.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
1
Hierarchical Part-Based Hierarchical Part-Based Human Body Pose EstimationHuman Body Pose Estimation
* Ramanan Navaratnam
* Arasanathan Thayananthan
† Prof. Phil Torr
* Prof. Roberto Cipolla
* University Of Cambridge † Oxford Brookes University
2
IntroductionIntroduction
Input
3
IntroductionIntroduction
Input Output
4
OverviewOverview
1. Motivation
2. Hierarchical parts
3. Template search
4. Pose estimation in a single frame
5. Temporal smoothing
6. Summary & Future work
5
OverviewOverview
1. Problem motivation ???
2. Hierarchical parts
3. Template search
4. Pose estimation in a single frame
5. Temporal smoothing
6. Summary & Future work
6
OverviewOverview
1. Problem motivation ???
2. Hierarchical parts
3. Template search
4. Pose estimation in a single frame
5. Temporal smoothing
6. Summary & Future work
7
OverviewOverview
1. Problem motivation ???
2. Hierarchical parts
3. Template search
4. Pose estimation in a single frame
5. Temporal smoothing
6. Summary & Future work
8
MotivationMotivation ‘Real-time Object Detection for Smart Vehicles’
– D. M. Gavrila & V. Philomin (ICCV 1999)
‘Filtering using a tree-based estimator’ – Stenger et.al. (ICCV 2003)
9
MotivationMotivation
Exponential increase of templates with dimensions
‘Real-time Object Detection for Smart Vehicles’ – D. M. Gavrila & V. Philomin (ICCV 1999)
‘Filtering using a tree-based estimator’ – Stenger et.al. (ICCV 2003)
10
MotivationMotivation ‘Pictorial Structures for Object Recognition’
– P. Felzenszwalb & D. Huttenlocher (IJCV 2005)
‘Human upper body pose estimation in static images’ – M.W. Lee & I. Cohen (ECCV 2004)
11
MotivationMotivation
Part based approach Assembling parts together is complex
‘Pictorial Structures for Object Recognition’ – P. Felzenszwalb & D. Huttenlocher (IJCV 2005)
‘Human upper body pose estimation in static images’ – M.W. Lee & I. Cohen (ECCV 2004)
12
MotivationMotivation ‘Automatic Annotation of Everyday Movements’
– D. Ramanan & D. A. Forsyth (NIPS 2003)
‘3-D model-based tracking of humans in action:a multi-view approach’ – D. M. Gavrila & L. S. Davis (CVPR 1996)
13
MotivationMotivation ‘Automatic Annotation of Everyday Movements’
– D. Ramanan & D. A. Forsyth (NIPS 2003)
‘3-D model-based tracking of humans in action:a multi-view approach’ – D. M. Gavrila & L. S. Davis (CVPR 1996)