Dissertation > Excellent graduate degree dissertation topics show

Based on computer vision , moving target detection and tracking

Author: LiMingJun
Tutor: FangZuo；LiZhiYu
School: Qingdao University
Course: Applied Computer Technology
Keywords: video surveillance moving object detection object tracking
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 223
Quote: 1
Read: Download Dissertation

Abstract


Moving target detection and tracking is to image processing,automatic control, information science and technology combine,forms one kind to be able to examine the movement goal fast from the pictorial information,the extraction target position information and the real-time tracking object technology.It is foundation of computer images and video processing work,which widely used in industrial,medical,military,education,business, sports and other areas.In this dissertation discussed and studied the key technology of moving object detection and tracking on video surveillance systems,as well as the ordinary PC implementation of these algorithms.On the research of moving object detection,by studying and analyzing a great number of methods,in this dissertation,an improved background subtraction algorithm based on Gaussian model has been proposed,and a hybrid detection framework by combining ordinary Histogram model and Gaussian model differencing algorithm has been presented. This framework can establish Histogram model for background pixel which is single mode, and establish mixture Gaussian model for background pixel which is multiple mode.In addition,the paper used the background color difference method to get moving targets,and joined the shadow detection,and other functions so that the goal of moving targets dynamic acquisition more complete,robust stronger.This algorithm can achieve higher sensitivity and more robust detection result.On the research of object tracking,a simple version of MLE(Maximum Likelihood Estimation) is used to make the classification decision in this dissertation and built tracking priorities for multiple targets.By studying several related algorithm,this dissertation improves the extend Kalman filter to tracking targets which make use of the detection results and compare centroid position and area instead of complicated template matching,thus this method improve the tracking speed,as well as handling the cluttered scene with a simplicity and efficient approach.To validate the effects of these algorithms,this dissertation designed separate experiment for every module and collected a lot of video data.These experiments have proved the validity of these algorithms.Last,in this dissertation,a whole moving targets detection and tracking framework is designed,and a moving targets detection and tracking system on ordinary PC was implemented,which is executed successfully.

Related Dissertations

  1. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  2. The Research of Moving Object Tracking System Based on Embeded Image Process Unit,TP391.41
  3. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  4. Research on the Theory of Visual Object Tracking Based on Particle Filter for Autonomous Robot,TP242
  5. Intelligent video detection technology based on the traffic lights control,TM923.5
  6. Design of Ad hoc Network Application Based on Linux Platform,TN929.5
  7. Research on Object Detection and Tracking Method in Active Vision System,TP391.41
  8. Streaming Media Server System Based on Network Storage,TN919.8
  9. Research and Implementation of Audio and Video Communi Cation Program in the Smart Home.,TN919.8
  10. The Design and Implementation of Network Video Surveillance System,TP277
  11. Moving Object Recognition Video Monitoring System Design and Implementation,TP391.41
  12. Traffic video monitoring of certain key algorithm design and application,TP391.41
  13. Massive Video Information Management System Risk Management,F426.6
  14. Crowd behavior analysis algorithms and implementation,TP391.41
  15. Video Surveillance System Hardware Design Based on Signal Integrity Analysis,TN79
  16. Study of Video-monitoring System Bases on 3G Mobile Communication,TP277
  17. Research and Implementation on the Related Image Processing Technologies of Video Surveillance System,TP391.41
  18. Wireless Camera Monitoring System Based on ARM9 and Embedded Linux,TP277
  19. The Research of Moving Object Tracking Based on Swarm Intelligence Algorithm,TP391.41
  20. Research and Implement om Key Technologies of Moving Human Activity Analysis Based on Video Sequences,TP391.41
  21. Research on View-independent Object Classification and Indexing in Traffic Scene,TP391.41

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