Category:Motion in computer vision
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Motion in computer vision is a sub-field within computer vision dealing with estimation and analysis of information related to motion in image sequences or in the scene depicted by a camera. Common problems in this field relate to
- Estimating the motion field in an image sequence.
- Estimating the 3D motion of points in the scene based on measurements on image data.
- Estimation of Ego-motion, the 3D motion of the camera relative to the scene.
Pages in category "Category:Motion in computer vision"
- Activity recognition
- Horn–Schunck method
- Irissometry
- Kanade–Lucas–Tomasi feature tracker
- Lucas–Kanade method
- Lumitrack
- Match Analysis
- Match moving
- Motion analysis
- Motion compensation
- Motion detection
- Motion estimation
- Motion field
- Moving object detection
- Object co-segmentation
- Optical flow
- Rigid motion segmentation
- Simultaneous localization and mapping
- Structure from motion
- Tomasi–Kanade factorization
- Velocity Moments
- Video content analysis
- Video motion analysis
- Video tracking
- Visual odometry
- Volumetric capture
- X-ray motion analysis
- Category:Motion capture