Dissertation > Excellent graduate degree dissertation topics show

Research on Multiple Moving Target Detection and Tracking

Author: CaoZuo
Tutor: JiaoShuHong
School: Harbin Engineering University
Course: Communication and Information System
Keywords: target tracking target detection feature fusion kalman prediction background extraction
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 120
Quote: 0
Read: Download Dissertation

Abstract


Motion detection and tracking is one of the important area in digital image processing and pattern recognition research, as well one of the main elements in field of computer vision. It has broadly applied in robot navigation, security monitoring systems,medical image analysis and in the areas of virtual reality. The paper mainly researches motion detection and multi-target tracking technology.The paper introduces three algorithms on the motion detection including frame subtraction、background subtraction and optic flow method and give them comprehensive analysis of the advantages and disadvantages.In the condition of the camera is fixed, this paper takes the method of background subtraction to detect the moving target. Based on the frame subtraction, an improved method to acquire background is presented,as well the simulation of original method and improved method is given, the results indicate that the improved method achieves the expected effect.This paper uses the improved method to extract the background image automatically and then uses the background difference method to achieve the initial detection of moving targets.Finally, this paper takes the adoption of gray-scale image histogram equalization and morphological operation to dissociate all the moving targets completely.On the research of multi-target tracking, this paper gives the Kalman filter and tracking model a brief presentation and proposes a method of combining multi-feature fusion and Kalman prediction for multi-target tracking.The center of target’s minimum bounding rectangle, the target’s aspect, and the target’s area are composed of integration measure, and this measure is taken to match the multiple moving targets. Experimental results show the good accuracy and stability of using this method to track multiple moving targets.

Related Dissertations

  1. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  2. The Maneuvering Target Tracking Research Based on VRPF,TN957.52
  3. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  4. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  5. Moving target trajectory analysis based Intelligent Traffic Monitoring System,TP277
  6. Research and Application on Detection and Tracking of Object Based on Video Stream,TP391.41
  7. Design and Implementation of Embedded Multi-parameter Intelligent Evironment Monitoring Systems,TP274
  8. Research on Moving Object Retrieval for Video Surveillance,TP391.41
  9. Research on Moving Objects Detection Algorithms in Security Monitoring System,TP391.41
  10. Research on Specific Target Recognition Algorithms in Video Surveillance,TP391.41
  11. Research of Visual Attention Model for Complex Object,TP391.41
  12. The Study of Moving Object Detection and Tracking Algorithm Based on Image Information,TP391.41
  13. Research of Moving Object Detection and Tracking Technology,TP391.41
  14. Object Detection and Tracking in Video Image,TP391.41
  15. Pedestrian Detection and Tracking Technology of Vehicle Infrared Image,TP391.41
  16. The Theoretical and Experimental Research on MIMO Detection for Small Target in Waveguide,TB566
  17. The Theoretical and Experimental Research on the Collocated MIMO Detection,TB566
  18. Face recognition algorithm based on feature fusion research,TP391.41
  19. Spectrum Information hyperspectral imaging target detection technique,TP391.41
  20. Based on Information Fusion Fault Diagnosis of Analog Circuits,TN710

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