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Intelligent Pattern Recognition of Moving Organisms

Group 03. Intelligent Pattern Recognition of Moving Organisms. (Worm Tracking!). Our Group. Client: Dr. Pandey, Microfluidics Lab User: Archana Parashar Ryan Alley, Team Leader Colin Ray Laith Abbas Shan Zhong Shusheng Xu. Problem. Worms are used for data in research

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Intelligent Pattern Recognition of Moving Organisms

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  1. Group 03 Intelligent Pattern Recognition of Moving Organisms (Worm Tracking!)

  2. Our Group • Client: Dr. Pandey, Microfluidics Lab • User: Archana Parashar • Ryan Alley, Team Leader • Colin Ray • Laith Abbas • Shan Zhong • Shusheng Xu

  3. Problem Worms are used for data in research Currently, movement tracking and analysis done manually Too time-consuming for aggregate data Typical process Use-casefor software

  4. Progress • Primarily: algorithm design • At the same time: user interface • Algorithm: • Background removal • Worm isolation • Head/tail discretizing • (currently) spline-fitting • PICTURES MOFUCKAH

  5. Problems and Challenges Library limitations with OpenCV OpenCV documentation (imaginary) Language limitations in C++ Algorithm design! Runtime efficiency Changing Requirements

  6. Solutions and Approaches • Rewriting algorithms for greater data access • Language was shifted to C#; streamlines GUI design and prototyping process • Large standard libraries and ease in threading • Considering OpenCL

  7. Future Work • More features: • Collision—highly desireable feature • Data representation • Interface & worm selection • Finish and tune algorithms • Optimization (OpenCL?)

  8. Questions?

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