enhanced computer vision with microsoft kinect sensor: a review
TRANSCRIPT
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 MusaRoll no: 0907013
Covered Areas
• Kinect Mechanism• Preprocessing• Object Tracking and Recognition• Human Activity Analysis• Hand Gesture Analysis• Indoor 3-D Mapping• Problems, Outlook and Conclusion
Kinect Mechanism
1. Kinect Sensing Hardware
Kinect Mechanism
2. Kinect Software Tools
Kinect Mechanism
3. Kinect Performance Evaluation
Kinect Censor >TOF cameras
Preprocessing
Kinect Recalibration Depth Data Filtering
Object Tracking and Recognition
Object Detection and Tracking Object and Scene Recognition
Object Tracking and Recognition
Human Activity Analysis
Pose Estimation Activity Recognition
Hand Gesture Analysis
Hand Detection Hand Pose Estimation Gesture Classification
Indoor 3-D Mapping
Sparse Feature Matching Dense Point Matching
Problems, Outlook and Conclusion
Real-World Applications Efficient Integration of Algorithms Information Fusion Outlook for the Future
References
http://vision.in.tum.de/research/rgb-d_sensors_kinect http://www.metrilus.de/range-imaging/time-of-flight-
cameras/ http://www.cs.washington.edu/rgbd-dataset/ http://en.wikipedia.org/wiki/Kinect