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Multiple leaf tracking using computer vision methods with shape constraints

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Abstract
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.
Keywords
biological monitoring, segmentation, ACTIVE CONTOURS, MODELS, active contours, tracking

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Chicago
De Vylder, Jonas, Dominique Van Der Straeten, and Wilfried Philips. 2013. “Multiple Leaf Tracking Using Computer Vision Methods with Shape Constraints.” In Proceedings of SPIE, the International Society for Optical Engineering. Vol. 8881. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
De Vylder, Jonas, Van Der Straeten, D., & Philips, W. (2013). Multiple leaf tracking using computer vision methods with shape constraints. Proceedings of SPIE, the International Society for Optical Engineering (Vol. 8881). Presented at the International conference on Sensing Technologies for Biomaterial, Food, and Agriculture (SeTBio 2013), part of Optics and Photonics international congress, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
De Vylder J, Van Der Straeten D, Philips W. Multiple leaf tracking using computer vision methods with shape constraints. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2013.
MLA
De Vylder, Jonas, Dominique Van Der Straeten, and Wilfried Philips. “Multiple Leaf Tracking Using Computer Vision Methods with Shape Constraints.” Proceedings of SPIE, the International Society for Optical Engineering. Vol. 8881. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2013. Print.
@inproceedings{3184978,
  abstract     = {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.},
  articleno    = {88810E},
  author       = {De Vylder, Jonas and Van Der Straeten, Dominique and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  isbn         = {9780819497437},
  issn         = {0277-786X},
  keywords     = {biological monitoring,segmentation,ACTIVE CONTOURS,MODELS,active contours,tracking},
  language     = {eng},
  location     = {Yokohoma, Japan},
  pages        = {8},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Multiple leaf tracking using computer vision methods with shape constraints},
  url          = {http://dx.doi.org/10.1117/12.2029789},
  volume       = {8881},
  year         = {2013},
}

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