17 May 2013 Multiple leaf tracking using computer vision methods with shape constraints
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Accurate monitoring of leaves and plants is a necessity for research on plant physiology. To aid this biological research, we propose a new active contour method to track individual leaves in chlorophyll fluorescence time laps sequences. The proposed active contour algorithm is developed such that it can handle sequences with low temporal resolution. This paper proposes a novel optimization method which incorporates prior knowledge about the plant shape. Tests show that the proposed framework outperforms state of the art tracking methods.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonas De Vylder, Jonas De Vylder, Dominique Van Der Straeten, Dominique Van Der Straeten, Wilfried Philips, Wilfried Philips, "Multiple leaf tracking using computer vision methods with shape constraints", Proc. SPIE 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013, 88810E (17 May 2013); doi: 10.1117/12.2029789; https://doi.org/10.1117/12.2029789


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