IEG4160_Part9 - IEG 4160 Image and Video Processing...

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Motion from Video IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu Motion phenomena and applications Image subtraction Computing motion vectors Computing the paths of moving points Reading material: Chapter 9, Computer Vision, by Shapiro and Stockman, 2001
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Page 2 IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu 9. Motion from Video Video A Video f ( x , y , t ) ± A sequence of still images displayed at a certain rate ± Its content varies with time ± Moving objects can be observed via a video A video x y t
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Page 3 IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu 9. Motion from Video Motion phenomena and applications Four general cases of motion ± Still camera, single moving object, constant background ² Detection of a moving object’s pixels reveals the shape , speed and path of the object ² Applications ± Safety and security: switching on lights when finding people appearing ± Manufacturing : detecting the presence of a part fed into a workplace ± Traffic control: detecting moving vehicles
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Page 4 IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu 9. Motion from Video Motion phenomena and applications Four general cases of motion ± Still camera, several moving objects, constant background ² Moving objects are tracked to provide a trajectory or path , which reveals the behaviors of the objects ² Applications ± Analysis of the motion of balls and athletes in playing ± Analysis of the motion of patients in rehabilitation ± Moving camera, relatively constant scene ² Create more observations than available from a single viewpoint ² Provide for computation of relative depth (the images of close objects change faster than the images of remote objects) ² Provide for perception/measurement of the 3D shape of objects (shape from image sequence, shape from rotation)
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Page 5 IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu 9. Motion from Video Motion phenomena and applications Four general cases of motion ± Moving camera, several moving objects ² Such a case arises with a robot vehicle navigating through heavy traffic ² It also arises when cameras are used to follow/track moving objects
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Page 6 IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu 9. Motion from Video Change detection via image subtraction Surveillance: an example ± Given a set of video frames: F 1 , F 2 , F 3 , … ± Moving objects appear, move, disappear ± Background pixels remain almost the same ± Subtracting image F m from F n should show change in the difference ± Change in background is only noise ± Significant change at object boundaries
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Page 7 IEG 4160: Image and Video Processing. Lecturer: Jianzhuang Liu 9. Motion from Video Change detection via image subtraction Surveillance: an example ± Difference regions: person, opened door, and computer monitor ± System can know about the door and monitor. Only the person region is “ unexpected ± System camera then may focus on the unexpected object
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This note was uploaded on 10/13/2009 for the course CS 5150 taught by Professor Xulei during the Spring '09 term at University of Central Arkansas.

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IEG4160_Part9 - IEG 4160 Image and Video Processing...

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