Enhanced Computer Vision with Microsoft Kinect Sensor: A Review

1,886 views
1,588 views

Published on

Published in: Technology, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,886
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
74
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Enhanced Computer Vision with Microsoft Kinect Sensor: A Review

  1. 1. Enhanced Computer Vision with Microsoft Kinect Sensor: A Review Jungong Han, Member, IEEE, Ling Shao,Senior Member, IEEE, Dong Xu, Member, IEEE, And Jamie Shotton, Member, IEEE Presenter: Abu Saleh Md Musa Roll no: 0907013
  2. 2. Covered Areas • • • • • • • Kinect Mechanism Preprocessing Object Tracking and Recognition Human Activity Analysis Hand Gesture Analysis Indoor 3-D Mapping Problems, Outlook and Conclusion
  3. 3. Kinect Mechanism 1. Kinect Sensing Hardware
  4. 4. Kinect Mechanism 2. Kinect Software Tools
  5. 5. Kinect Mechanism 3. Kinect Performance Evaluation Kinect Censor >TOF cameras
  6. 6. Preprocessing  Kinect Recalibration  Depth Data Filtering
  7. 7. Object Tracking and Recognition  Object Detection and Tracking  Object and Scene Recognition
  8. 8. Object Tracking and Recognition
  9. 9. Human Activity Analysis  Pose Estimation  Activity Recognition
  10. 10. Hand Gesture Analysis  Hand Detection  Hand Pose Estimation  Gesture Classification
  11. 11. Indoor 3-D Mapping  Sparse Feature Matching  Dense Point Matching
  12. 12. Problems, Outlook and Conclusion  Real-World Applications  Efficient Integration of Algorithms  Information Fusion  Outlook for the Future
  13. 13. References  http://vision.in.tum.de/research/rgb-d_sensors_kinect  http://www.metrilus.de/range-imaging/time-of-flightcameras/  http://www.cs.washington.edu/rgbd-dataset/  http://en.wikipedia.org/wiki/Kinect

×