Dissertation > Excellent graduate degree dissertation topics show

Research on Detecting and Tracking of Fish Group Based on Machine Vision

Author: WuJun
Tutor: XiaoGang;ChenJiuJun
School: Zhejiang University of Technology
Course: Applied Computer Technology
Keywords: Bio-monitoring Object detection graph cut fish group tracking potency dimension of fish group Delaunay Triangulation
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 66
Quote: 1
Read: Download Dissertation


Biological monitoring techniques for water quality are technology, the basic principle of which is that using the reaction of biological individual, population and group to environmental pollution to expound the pollution state of the environment. The result of monitoring techniques can reflect the change of the water quality of water environment directly and real-time. Using the changes of biodiversity characteristics to monitoring the water quality is an effective way. So, how to get the characteristics of biodiversity behavior is a very important part of the water quality monitoring systemIn order to get the information of characteristics of fish group to make a completed water quality monitoring system, this paper used fish group as the indicator organism of biomonitoring for water quality monitoring, and mainly study the outline of computer vision applications in movement behavior monitoring by fish group. The main content of the article includes: real-time detecting fish group, tracking fish group object and design and realization for the monitoring System and platform. The main results of this paper summarized as follows:First, Study on real-time detection method for the moving objects Based on graph cut. A new moving object detection algorithm based on graph cut. Firstly, a method of watershed transform is adopted to divide the image into parts, and build the net in every part. Then a new energy function was constructed, which contain soft constraints, hard constraints and time constraints. Finally, get the minimum cut by minimizing the energy function by graph cut.Second, Study on fish group tracing Based on delaunay triangulation. In order to accurately track fish group, a new algorithm is proposed, which is based on the traditional background subtraction algorithm and the Delaunay Triangulation network. At first, the traditional background subtraction algorithm is used to deal with the video image sequence; Then, the coordinates of each fish are evaluated; Third, the constraint Delaunay Triangulation is established and some objects are removed so that fish group can be detected. Experimental results show that this algorithm can track fish groups accurately and provide effective data for monitoring water quality.Last, study on the system and platform of fish group detecting and tracking based on computer vision. In order to make the experiment environment to similar to the real environment, the existed experiment platform has been appropriately modified. The architecture of fish group detecting and tracking based on computer vision has been designed and vision processing model and fish group tracking model initially constructed.

Related Dissertations

  1. The Research of Moving Object Tracking System Based on Embeded Image Process Unit,TP391.41
  2. Research on the Algorithms of Moving Object Detection and Tracking,TP391.41
  3. Research on Techniques in Video Surveillance,TP391.41
  4. Research on Moving Object Detection and Tracking Algorithm in Video Surveillance,TP391.41
  5. The Research and Implementation of Background Modeling and Updating Algorithm Based on Mixture Gaussian Model,TP391.41
  6. B4 Object Detection and Tracking in Intelligent Video Surveillance,TP391.41
  7. Vehicle Flow Extraction and Analysis Based on Automatic Lane Detection,TP391.41
  8. OSG-based three-dimensional irregular terrain matching military standard applied research,E919
  9. Based on the geometry of multiple images and textures automatically rebuild,TP391.41
  10. The Kernelization and Parameterized Algorithms for Graph Cut Problems,TP301.6
  11. Research of Digital Elevation Model Generation and Visualization Based on TIN,TP391.41
  12. Cooling Turbine Blade CFD Grid Generation,V232.4
  13. Research and Implementation on Key Technologies of Intelligent Surveillance System of Object Safty Detection,TP277
  14. Mobile Robot Platform Design and Implementation Based on μC/OS-Ⅱ,TP242.6
  15. The Mechanism Research of Visualization Experiment Approach for Solving System Global Shortest Path,TP13
  16. Key Technology Research of Block Modeling in Seismic Imaging System,TP391.41
  17. Brush-Cutting Tool for 3D Shapes,TP391.41
  18. Research of Motion Object Detection and Tracking in Video Image Sequences,TP391.41
  19. System design and application of a two-dimensional grid Automeshening,TP391.41
  20. Methods to Image and Video De-hazing,TP391.41
  21. The Primary Research for Flow Simulation on Unstructured Grids,O35

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile