Abstract
This paper proposes an accurate method for multiple key points tracking in long microscopic sequences. Tracking in normal-scale image sequences is proved to be a valuable fundamental technology in computer vision, while tracking in microscopic sequences is a more challenging work due to its poor image quality resulted from the complexity of microscopic imaging process. The micro stereo imaging process can be implemented in a tilting rotation of the stage which produces an affine geometric transformation on the projection of rigid spatial micro structure. This paper finds that the projection’s affine invariance leads tracking of point templates to be a feasible solution, due to the fixed spatial relationship among the composed of simple fundamental components such as points, lines and planes. At the same time, we apply an adaptive particle filter (PF) of points tracking algorithm to sample and calculate the weights from those multiple point templates, which can resolve the visual distortion, illumination variability and irregular motion estimation. The experimental results are precise and robust for rigid multiple key points tracking in long micro image sequences.
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Liu, S., Fang, T., Chen, S., Tong, H., Yuan, C., Chen, Z. (2012). Particle Filter with Affine Transformation for Multiple Key Points Tracking. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VIII. Lecture Notes in Computer Science, vol 7220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31439-1_11
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DOI: https://doi.org/10.1007/978-3-642-31439-1_11
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