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Enhanced Computer Vision with Microsoft Kinect Sensor: A Review
 

Enhanced Computer Vision with Microsoft Kinect Sensor: A Review

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    Enhanced Computer Vision with Microsoft Kinect Sensor: A Review Enhanced Computer Vision with Microsoft Kinect Sensor: A Review Presentation 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 Musa Roll 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-flightcameras/  http://www.cs.washington.edu/rgbd-dataset/  http://en.wikipedia.org/wiki/Kinect