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http://dx.doi.org/10.5391/JKIIS.2011.21.5.537

Occluded Object Motion Tracking Method based on Combination of 3D Reconstruction and Optical Flow Estimation  

Park, Jun-Heong (중앙대학교 전자전기공학부)
Park, Seung-Min (중앙대학교 전자전기공학부)
Sim, Kwee-Bo (중앙대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.5, 2011 , pp. 537-542 More about this Journal
Abstract
A mirror neuron is a neuron fires both when an animal acts and when the animal observes the same action performed by another. We propose a method of 3D reconstruction for occluded object motion tracking like Mirror Neuron System to fire in hidden condition. For modeling system that intention recognition through fire effect like Mirror Neuron System, we calculate depth information using stereo image from a stereo camera and reconstruct three dimension data. Movement direction of object is estimated by optical flow with three-dimensional image data created by three dimension reconstruction. For three dimension reconstruction that enables tracing occluded part, first, picture data was get by stereo camera. Result of optical flow is made be robust to noise by the kalman filter estimation algorithm. Image data is saved as history from reconstructed three dimension image through motion tracking of object. When whole or some part of object is disappeared form stereo camera by other objects, it is restored to bring image date form history of saved past image and track motion of object.
Keywords
3D Reconstruction; Optical Flow; Kalman Filter; Mirror Neuron System; Gesture Recognition;
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Times Cited By KSCI : 3  (Citation Analysis)
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