Dissertation > Excellent graduate degree dissertation topics show

The Design and Implementation of Face Detection Algorithm Based on FPGA Chip

Author: ZuoXiuTao
Tutor: HuangHaiYu
School: Southwest Jiaotong University
Course: Traffic Information Engineering \u0026 Control
Keywords: Face Detection Adaboost Algorithm FPGA Classifier Training Time
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 67
Quote: 0
Read: Download Dissertation

Abstract


With the unremitting research of face detection technology in recent years, face detection technology has been greatly developed, and it gradually becomes an independent research project. People are often the most suitable objects which should be monitored in most video surveillance systems, and people’s face owns the most important features to be identified for a person.Therefore, face detection occupies an important position in digital control system. Adaboost algorithm is an important milestone in the study of face detection, especially for real-time face detection.Theoretically, using enough samples and rectangle features, the classifier obtained from Adaboost algorithm can get a error rate which infinitely tends to zero through sufficient training. Due to the limitations of the equipment for training, the time to get a classifier on PC often takes several days or even dozens of days.Therefore, it is particularly important to reduce the training time of the classification.Based on the basic principles of Adaboost algorithm, this thesis designed and realized the Adaboost algorithm on the ISE platform. In the training process of Adaboost algorithm, the computation is very large, mainly in obtaining the features and training the best weak classifier. This paper takes full advantages of FPGA’s ability of parallel computing and block RAM resources to quickly obtain the values of the sample features and achieves the rapid training of the classifier. Because of the full use of hardware advantage of FPGA.compared to the traditional PC, the training time is greatly reduced. In addition, with the classifier trained in this paper, the detection algorithm is realized on FPGA by the multi-scale detection methods.This thesis introduces the significance of this research and current research at home and abroad first.and introduces the theory of Adaboost algorithm briefly. Then, it gives a very detailed account of the specific method and process in the training of Adaboost algorithm and testing part. The simulation results in related modules and analysis are given. Finally, in this paper’s summarizes and prospects, the problems and areas to improve is analyzed.

Related Dissertations

  1. Research on Electromagnetic Acoustic Transducer Detection System Based on FPGA,TH878.2
  2. Study on Drive and Control System of Five-Phase PMSM Based on FPGA,TM341
  3. Development of LXI Arbitrary Waveform Generator,TM935
  4. Design of Digital Predistorter for RF Power Amplifier Based on FPGA,TN722.75
  5. Synchronization and Channel Estimation Algorithm in Bursted OFDM System and Its Implementation on FPGA,TN919.3
  6. Performance Analysis of Anti-Multipath Capability in DSSS System and Study on the Compensation Methods,TN914.42
  7. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  8. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  9. Research and Hardware Simulation of Multiuser Spread Spectrum Code Acquisition Based on FPGA,TN914.42
  10. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  11. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  12. The Fatigue State Recognition of the Driver Based on Eye Detection,TP391.41
  13. Design of High-Speed Digital Image Acquisition and Interface Based on FPGA,TP274.2
  14. Development of Inductance Sensor Data Acquisition System Based on FPGA,TP274.2
  15. Development of Serial Bus Analyzer Based on Nios,TP274
  16. Development of PMC High-speed Data Transmission Board Design Based on FPGA-RocketIO_X,TP274.2
  17. Development of Pxibus High Performance Digital I/O Module,TP274
  18. Development of LXI Counter,TP274
  19. A High-Speed and Real-Time Data Acquisition System Based on FPGA,TP274.2
  20. Design of GPS Information Receiving System Based on Nios Ⅱ,TN967.1
  21. Temperature and pressure explosives temperature field memory test technology,TQ560.7

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