Dissertation > Excellent graduate degree dissertation topics show

The Applied Research of Sequence Image Tracking Algorithm Under the Condition of Complex

Author: ZhaoZhongChe
Tutor: JiangBo
School: Xinjiang University
Course: Control Theory and Control Engineering
Keywords: Image sequence Moving Target tracking filter algorithm tracking
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 16
Quote: 0
Read: Download Dissertation

Abstract


Target tracking technology is widely used in military, security, trafficsurveillance. How effective tracking of the target of interest in a video sequence is avisually challenging topics.This paper studies the tracking algorithm of moving target in the imagesequence. First, studied the movement characteristics of the moving target and themodeling principles, methods of moving target; Secondly, studied of the classictracking algorithm to track moving targets in the image of the sequence, such asparticle filter algorithm, class Kalman filter algorithm, the mean shift algorithm. Thispaper presents a moving target tracking in image sequences with strong tracking filteralgorithm to track the moving target. As which the particle filter was taken into a localoptimum have to resample that increase the time overhead and Kalman filter cannotcatch up with the moving target in the case of larger changes to the environment orsuddenly appear in the case of high-speed motor based on the particle algorithm classKalman filtering algorithm, the mean shift algorithm. Strong tracking filter isimproved on the basis of the classical Kalman filter which is for the first timeproposed by Zhou Donghua in fault diagnosis. It changes the Kalman filter-likeKalman gain which is constant and stored in the computer and will not change thedefect in advance, so that the Kalman gain rapid growth in the tracked target isblocked or the sudden appearance of high-speed mobile and then normalized to zero.Strong tracking filter is to overcome this deficiency of Kalman filter, it can be betterapplied to the image sequence moving target tracking.Image sequence moving target tracking experiments show that in the case of themoving target is obscured in the role of the strong tracking filter algorithm can bevery good track moving targets, has strong robustness in the background moves, themore complex environment can also be able to fast track the objectives of the campaign, and achieved good tracking performance.The algorithm uses parallel tracking algorithm for multi-target moving targettracking, so that multi-target tracking can be achieved, but due to the time constraints,only the double-target tracking was studies. Experimental results show that thetracking effect is quite satisfactory, and track the targets which in the case of crossable to distinguish the respective tracking target and tracking moving targets. Thisdoes not appear disturbed and tracking in case of failure of the tracking target. Thathas good noise immunity and a certain practicality.

Related Dissertations

  1. High Dynamic Carrier Tracking Algorithm of Software GNSS Receiver,P228.4
  2. Research and Realization on Synchronization Technology of High Sensitivity GNSS Software Receiver,P228.4
  3. Research on Gyro Stabilized and Tracking Platform,V241.5
  4. Research of Electromagnetic Tracking Experimental System for Medical Application,TN966
  5. Research on Intelligent Learning-Based Multi-Sensor Target Recognition and Tracking System,TP391.41
  6. Research on Extraction and Tracking of People’s Opinion,TP391.1
  7. The Research of Moving Object Tracking System Based on Embeded Image Process Unit,TP391.41
  8. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  9. Large the Hongshan iron ore mine personnel tracking positioning system optimization study,TN929.5
  10. Robust Tracking Control for Nonlinear Systems,O231
  11. Moving target trajectory analysis based Intelligent Traffic Monitoring System,TP277
  12. Study on Visual Target Detection Based on SVM,TP391.41
  13. Research on the Algorithms of Moving Object Detection and Tracking,TP391.41
  14. Research on Detecting and Tracking of Fish Group Based on Machine Vision,TP391.41
  15. Research on Moving Object Detection and Tracking Algorithm in Video Surveillance,TP391.41
  16. Research on Object Detection and Tracking Method in Active Vision System,TP391.41
  17. Research on Photovoltaic Energy MPPT and Anti-islanding,TM615
  18. Pedestrian Detection and Tracking Technology of Vehicle Infrared Image,TP391.41
  19. Moving Object Detection and Tracking in Dynamic Scene,TP391.41
  20. Research on the Control Strategy for Cascade Multilevel STATCOM under Unbalanced Condition,TM761.1
  21. Research of Image Guided Technology for Cable Tunnel Patrol Vehicle,U469.6

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