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CSE 577 Image and Video Analysis

CSE 577 Image and Video Analysis. Motion Analysis Object Recognition Event Recognition. What is motion analysis?. Objectives: Detecting moving objects Tracking objects Deriving 3D properties of objects Understanding changes in the scene. Different Approaches.

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CSE 577 Image and Video Analysis

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  1. CSE 577Image and Video Analysis Motion Analysis Object Recognition Event Recognition

  2. What is motion analysis? Objectives: Detecting moving objects Tracking objects Deriving 3D properties of objects Understanding changes in the scene

  3. Different Approaches • Optical-flow based methods Dense point-wise registration • Feature-flow based methods Sparse point-wise registration • Differential methods Region-wise registration plus subtraction • Segmentation based methods Region-wise registration

  4. Definition of basic terms • Motion field (Velocity field) True motion of the scene projected on the 2D image plane. • Optical flow (Apparent motion) Motion of light patterns in the 2D image plane. NOTE: Motion field != Optical flow

  5. What’s Going on in Object Recognition? • Recognizing specific instances is out. • Recognizing classes of objects is in. • Learning is big. • Interest operators are big.

  6. What’s Going on in Video Analysis? • Finding and tracking humans • Recognizing their activities • Understanding (foreign) news shows • Determining what’s happening in meetings • Looking for events in videos from unmanned aerial vehicles

  7. Getting Started • Read the papers about 1. the Harris Corner Detector 2. the Lucas-Kanade Registration Alg. • Write a summary of each (as bullets) • Be ready to discuss next class (March 30)

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