Open Access
Robust motion estimation methods using gradient orientation information
Toshiaki Kondo,Waree Kongprawechnon +1 more
- 01 Jan 2009
TL;DR: Simulation results show that the proposed methods perform motion estimation remarkably well irrespective of time-varying image intensities and cope better with the aperture problem in which only unidirectional gradients are available and large erroneous motion estimates are produced.
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Abstract: Changing lighting conditions cause temporal variations of image intensities and make most existing motion estimation techniques ineffective. As a solution to this problem, we use gradient orientation information, which depends very little on changes of image intensities, in place of commonly used image features such as intensities and gradients. By employing gradient orientation, two conventional motion estimation techniques (the spatio-temporal gradient method and the gradient structure tensor method) can be transformed into methods that are far more robust to changing image intensities. Simulation results on both synthetic and real image sequences show that the proposed methods perform motion estimation remarkably well irrespective of time-varying image intensities. In addition, the proposed methods also cope better with the aperture problem in which only unidirectional gradients are available and large erroneous motion estimates are produced.
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Citations
In search of illumination invariants
Hansen F. Chen
- 01 Oct 2001
TL;DR: An illumination insensitive measure of image comparison is developed and tested on the problem of face recognition by analytically determining a probability distribution for the image gradient as a function of the surface's geometry and reflectance.
37
Image processing algorithms
Petrus Paulus Jonker
- 01 Jan 1992
TL;DR: The design of special computer architectures requires first of all insight in the tasks and algorithms that should preferably run on the proposed machine.
27
Experimental Analysis of Performance Comparison on Both Linear Filter and Bidirectional Condential Technique for Spatial Domain Optical Flow Algorithm
Darun Kesrarat,Vorapoj Patanavijit +1 more
- 01 Jan 1970
TL;DR: This research work proposes the performance comparison on linear filter and bidirectional confidential technique for spatial domain optical flow algorithms and uses Peak Signal to Noise Ratio (PSNR) as the performance index in the observation.
A novel robust and high reliability spatial correlation optical flow algorithm based on median motion estimation and bidirectional symmetry flow technique
Darun Kesrarat,Vorapoj Patanavijit +1 more
- 01 Dec 2011
TL;DR: A novel robust spatial correlation optical flow algorithm based on the robust motion estimation and effective confidence technique using bidirectional symmetry of forward and backward flow is proposed.
10
Performance investigation on bilateral filter with confidence based over spatial correlation-based optical flow for image reconstruction
Damn Kesrarat,Vorapoj Patanavijit +1 more
- 01 Dec 2014
TL;DR: This paper presents the performance study of bilateral filter and bilateral filter together with confidence based over spatial correlation-based optical flow where the quality of the reconstructed images from the result of motion vector is highly focused.
5
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