CSE 577 Image and Video Analysis

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Presentation transcript:

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 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

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

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.

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

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)