Abstract
Image sequence processing techniques are an essential tool for the experimental investigation of dynamical processes such as exchange, growth, and transport processes. These processes constitute much more complex motions than normally encountered in computer vision. In this paper, optical flow based motion analysis is extended into a generalized framework to estimate the motion field and the parameters of dynamic processes simultaneously. Examples from environmental physics and live sciences illustrate how this framework helps to tackles some key scientific questions that could not be solved without taking and analyzing image sequences.
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Jähne, B. (2007). Complex Motion in Environmental Physics and Live Sciences. In: Jähne, B., Mester, R., Barth, E., Scharr, H. (eds) Complex Motion. IWCM 2004. Lecture Notes in Computer Science, vol 3417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69866-1_8
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DOI: https://doi.org/10.1007/978-3-540-69866-1_8
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