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In this paper, we present a new approach that combines quaternion Fourier transform and parametric template method for registering color images that allows for scaling, translation, and rotation. We can accurately estimate model geometrical parameters based on the properties of quaternion Fourier transform. Inspired by parametric template method that allows fast estimation of the model parameters...
Quaternion correlation techniques take advantage of high recognition precision and strong noise tolerance have been widely used in mangy application of color image processing. In this paper, a fast color pattern recognition algorithm based on quaternion correlation techniques is proposed. By traditional complex fast Fourier transform, a more efficient quaternion correlation algorithm was applied in...
Object tracking algorithm using modified Particle filter in low frame rate (LFR) video is proposed in this paper, which the object moving significantly and randomly between consecutive frames in the low frame rate situation. Traditionally, Particle filtering use motion transitions to model the movement of the target. However, in object tracking with low frame rate sequences, it is very difficult to...
Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant and computationally efficient. Particle filter has been proven very successful for non-linear and non-Gaussian estimation tracking...
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