Dissertation > Excellent graduate degree dissertation topics show

Recognition and Tracking of Moving Target Based on DM642

Author: FuTeng
Tutor: ZhaoJianJun
School: Henan University
Course: Applied Mathematics
Keywords: DM642 target identification moving target tracking
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 210
Quote: 2
Read: Download Dissertation

Abstract


The vision is the most important perceptual way in human’s feeling, visual information account for a very large proportion in people’s perception information. Therefore, people start to study how could use the machine to simulate person’s vision to obtain visual information and carry on processing related, and has formed a very important discipline, namely computer vision. The dynamic visual information is the visual information key component, therefore the dynamic vision’s research is also a computer vision important research direction, has the widespread application in each kind of domain. This article mainly studies DM642 the movement object detection and the track, discuss how to using the imagery processing algorithm realize the simple specific movement goal examination and the track in the DM642 imagery processing platform. The main thesis is as follows:1. The research background and topic significance of detection and tracking of moving object have been analyzed, several kind of classical methods have been introduced. Each kind of classical target identification and the track related algorithm have analyzed, and each algorithm have been simulated and experimented in the platform which give the Comparison of the results and data, including pattern recognition classical algorithm and target tracking classical algorithm. Image Recognition in the course of the study focused on the image pre-processing, object segmentation target feature extraction and image morphological processing. Regarding the image pretreatment, the key point is the filter and the improvement algorithm; regarding the goal division, Otsu method is studied and be applied in the DM642 platform; regarding the feature extraction, the goal outline extraction is studied, the target area and Centroid and the goal smallest external connection rectangle are calculated; in the study of target tracking,target tracking algorithm and target location tracking algorithm are studied;regarding target tracking, the inter-frame difference method, the background difference method, optical flow field algorithm are introduced. Focus on the inter-frame difference method, in practice the application of a three-frame difference method to solve the "empty" phenomenon, in the corresponding link in the processing algorithm to select more appropriate as a final processing algorithms. In order to determine the target location and the rectangular area, the two-way projection of difference images is used after detection.2. The design process of procedural framework based on the TI TMS320DM642 processor is explained, the procedure of image data gathering, transmission, demonstration and code decoding compilations are explained. The the various algorithms of classic images are ported to DM642 platform, the experimental results of the classical algorithm and comparative analysis are given. In the experiment, several specific goals are selected, specific targets for these different kinds of detection tracking are experimented, and the experimental results are summarized.

Related Dissertations

  1. FPGA/DSP Image Co-processor Technology and Ethernet Data Transmission,TP391.41
  2. Research of Moving Object Detection and Tracking Technology,TP391.41
  3. Video image sequence moving target acquisition and tracking,TP391.41
  4. Facial feature extraction system is a key technology research and its DSP,TP391.41
  5. Border infrared monitoring system design moving target detection warning,TP391.41
  6. DM642-based infrared moving target detection and tracking technology,TP391.41
  7. Research on the Detection System of Eye Information Based on Embedded,TP391.41
  8. Vision-based particle filter target tracking algorithm and its application in a mobile robot,TP242
  9. Researches on Key Technology of Infrared Surveillance System,TP277
  10. Moving Targets Detection Methods Based on the Image Sequences,TP391.41
  11. Mean shift - based image tracking technology,TP391.41
  12. Moving Target Detection and Tracking of Network Monitoring System,TP391.41
  13. DSP-based Moving Target Recognition and Tracking System,TP391.41
  14. Target Identification Base on One-dimension Range Profile in High Resolution Radar,TN957.51
  15. Technology on Design and Implementation of Multi-Mode Radar Waveform System,TN957.51
  16. Research and Development of Intelligent Adaptive Control System Based on ARM,TP273.5
  17. Acoustic Target Recognition based on multi- scale resolution,E91
  18. Study of Wed Automatic Recognition and Tracking System,TP391.41
  19. Research on Moving Object Detection and Tracking Techniques in Intelligent Surveillance System and DSP Implementation,TP277
  20. Multi-sensor information fusion based Target Recognition Algorithm,TP202
  21. Audio and Visual Integration Tracking System Based on DSP,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