Dissertation > Excellent graduate degree dissertation topics show

Design of Intelligent Object Tracking Luggage Cart System Based on Binocular Vision

Author: XieDong
Tutor: LiXiaoRun
School: Zhejiang University
Course: Control Theory and Control Engineering
Keywords: binocular vision target detection target tracking system design
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 109
Quote: 0
Read: Download Dissertation

Abstract


With the continuous development of computer vision technology, binocular vision technology can be applied in many fields. Based on characteristics of binocular stereo vision system, this paper designs a new binocular vision-based intelligent tracking of luggage cart system. The research includes the calibration of the camera, the feature extraction of the detected moving target, stereo matching and 3D reconstruction.The camera imaging model and the principle of binocular vision system are described carefully in this paper. The CMOS cameras are used to build the binocular vision system. After the comparison of the two-step method and Zhang’s method, the Zhang’s method is chosen to implement the camera calibration. The commonly used adjacent frame difference method is used to detect the moving target, the centroid two-dimensional coordinate of the moving target is extracted and recorded, and the pre-match model is built based on the differential image of the moving target. Then edge features of moving targets are extracted by the Canny edge detection algorithm, and candidate matching points are chosen from edge feature points. Detect and match from the same point of principal and subordinate view field through interaction correspond constraints and epipolar constraint equations. Finally the three-dimensional reconstruction model of the binocular vision system is used to calculate the three-dimensional coordinates of matching feature points to track the object. Based on the characteristics of the binocular vision system, system components of the smart luggage cart and the system workflow are introduced, and the target recognition and tracking algorithms and the control strategy are described carefully. Matlab simulation shows that the tracking effect of moving target and the extraction of depth information are both well.

Related Dissertations

  1. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  2. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  3. Moving target trajectory analysis based Intelligent Traffic Monitoring System,TP277
  4. Research and Application on Detection and Tracking of Object Based on Video Stream,TP391.41
  5. Research on Moving Object Retrieval for Video Surveillance,TP391.41
  6. System Network Terminal Monitoring Technology Research and System Development on the Grass-root Army Unit,TP393.06
  7. The Research on Speed Measurement of Highway Vehicles Based on Machine Vision,TP274
  8. Research on Detection System of Moving Object Based on Binocular Vision,TP391.41
  9. Binocular vision based on asymmetric embedded dimensional measurement system,TP368.1
  10. Binocular Zoom Focus System,TP391.41
  11. Space motion panoramic three-dimensional measurement of small target,TP391.41
  12. Based on the visual system of unmanned autonomous helicopter landing,V279
  13. The Maneuvering Target Tracking Research Based on VRPF,TN957.52
  14. Embedded ampoule liquid foreign online testing system developed,TP368.1
  15. Multi-sensor multi-target tracking and fusion algorithms track,TN953
  16. Complex electromechanical products for multi-domain system design features represents the functional decomposition methods,TH122
  17. Industrial Ethernet end delay Modeling and Analysis,TP273
  18. Outdoor target recognition and application in augmented reality,TP391.9
  19. Distributed target detection in wireless sensor network research,TP212.9
  20. Multi-target tracking algorithm,TN953
  21. Border infrared monitoring system design moving target detection warning,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