Dissertation > Excellent graduate degree dissertation topics show

Multimedia sensor networks, target detection and tracking algorithm

Author: BaiXiaoYong
Tutor: TianZhong
School: University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Moving target detection Global estimation and compensation Wavelet transform Kalman filter Target tracking
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 115
Quote: 1
Read: Download Dissertation

Abstract


Images take more than 70% account of multiple media information collected by Multi-media Sensor Network (MSN), so the moving target detection and tracking algorithm based on image sequence is the emphasis of the researches of MSN. MSN analyses and processes image sequence and detect the interested moving target in order to abstract useful information for tracking and anticipation.By the review and analysis of current methods in this field, this article has proposed some novel algorithm in the research of moving target detection and tracking. Besides these, this article has developed the software which can detect moving target and track its trace based on MSN. My research work and contribution of this thesis are summarized as follows:1. By taking advantage of the results of moving target detection and tracking, this thesis presents an improved black movement estimation method based on Kalman filter. By the moving target’s position in next frame which predicted by Kalman filter, the image block for computing the motion vector can be selected. This algorithm well considers the movement information correlation within inter frame, and uses the new 3-step search in order to increase the correctness of the search rule. The experiment results show this algorithm can enhance computation of modal parameters precisely and rapidly.2. Getting rid of changes in background which generated by moving camera is crucial and complex in moving target detection. By research of current primary algorithms of global estimation, this thesis adopts the 6 points model of camera to compute the parameters of the model. This method can decrease the time only by calculating the part black. Then the iteration algorithm can eliminate the infection from these moving target blacks. So we can get the parameters of the 6 points model of camera. Using this result every pixel can be complemented by bilinear interpolation.3. Getting rid of the noise is another emphasis in target detection. High frequency coefficients of noise and image details can be distinguished by multi-scale wavelet decomposition after studying the theory of wavelet. The noise of image can be removed by setting feasible threshold. The moving target can be detected by the difference of 3 frames which can be gained by motion compensating and noise distinguishing.4. The position and size of moving target region in image can be obtained after moving target detection in current frame. Using Kalman filter, the about position of moving target in next frame image can be predicted. Global estimation of next frame image can be implemented by the result of Kalman filter.5. The software of moving target detection and tracking which was based on vedio sensor node was designed and developed. After giving the flow chart and critical modal design of the software, I have designed a method of target orientation by using multi-camera in MSN simulation.Summaries and prospects have also been put forward in the final of the thesis.

Related Dissertations

  1. Algorithm Research on SINS/GPS Integrated Navigation Syste,V249.328
  2. Satellite Attitude Determination Based on Gyro and Star Sensor,V448.2
  3. Research on Transfer Alignment of the Missile Onboard the Aircraft,V249.322
  4. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  5. The Maneuvering Target Tracking Research Based on VRPF,TN957.52
  6. Research on Multi-Sensor Embattling and Continious Tracking Technique Applying for Anti-Stealth and Anti-Interference,TN953
  7. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  8. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  9. Design of Gyro Stabilized Pod Control System,TP273
  10. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  11. Characteristics of sensory stimulation evoked,R318.0
  12. Network transmission ROI image coding algorithm,TN919.81
  13. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  14. Feature Extraction Technologies Research and Implementation of 3D Models Based on Wavelet Transform,TP391.41
  15. Research and Application on Detection and Tracking of Object Based on Video Stream,TP391.41
  16. Design Control Algorithm of A Dynamic Positioning System for the Large Trailing Suction Hopper Dredger,U674.31
  17. An Algorithm on Clustering and Anomaly Detection for Multiple Data Streams,TP311.13
  18. Research on Information Hiding Based on Images,TP309.7
  19. Design and Implication of Image Compression System Based on Wavelet and DM6446,TP391.41
  20. Algorithm Analysis about Traget Tracking in Wireless Sensor Network,TN929.5
  21. Two Wheel Electric Bicycle Self-balance Control Algorithm Research,TP273

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