Dissertation > Excellent graduate degree dissertation topics show

Research on Human Motion Recognition Based on Video Sequences

Author: XiongJing
Tutor: LiuZhiJing
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Intelligent Systems Behavior recognition Hidden Markov Models Convex hull algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 399
Quote: 6
Read: Download Dissertation


Dynamic on-site visual monitoring is an emerging application direction of the field of computer vision . Visual monitoring different from the traditional sense of the monitoring system in its intelligence . In short , not only with a video camera instead of the human eye , and replacing people with computers to help people , to accomplish the task of monitoring or control , so as to alleviate the burden of the people . This will not only be able to save a lot of manpower , material and financial resources , it is more important to be able to detect the condition to avoid the occurrence of the crime . The Visual Surveillance has broad application prospects and potential economic value . Attracted the attention of domestic and foreign research institutions and scholars in recent years . Moving target behavior recognition follow three basic steps of the moving target detection , tracking and behavior recognition . Moving target detection and tracking behavior recognition on the basis of this article briefly describes the method of target detection and tracking , focus on moving target behavior recognition algorithms . The article describes the first system image processing platform and used image processing methods , listed some of the common methods in the detection and tracking of moving targets , described the methods used in the system last brief comparison . Identify expand research focused on moving target behavior , a of Hu moment and hidden Markov model , through detailed analysis , found hidden Markov algorithm moving target behavior better judgment , but there are also some disadvantages for its a problem final convex hull algorithms to find the feature points , and hidden Markov model are combined , the original algorithm is improved , this improved algorithm has a good performance by the experimental results demonstrate .

Related Dissertations

  1. Mathematical Description for the Theory of Yin Yang and Five Elements in Chinese Medicine,R226
  2. Mandarin isolated word speech recognition technology research,TN912.34
  3. The Intelligent Design Research of Residential District,TU855
  4. Research on Human Motion Analysis and Key Technologies in Intelligent Video Surveillance,TP277
  5. M2M Model and Its Application of Huge Game,TP391.41
  6. Hand Gesture Recognition Based on Hidden Markov Module,TP391.41
  7. Study Algorithms of Motor-Imagery-Brain-Computer Interface,TP334.7
  8. Research and Application of System Call in Host Intrusion Detection,TP393.08
  9. Assessment of Lightning Risk of Intelligent Residential Buildings,TU895
  10. Key-dependent HMM -based musical chord recognition system,TN912.34
  11. Research on an Embedded Speech Recognition System Based on HMM,TP368.1
  12. The Research of Dynamic Gesture Recognition Technology Based on SVM and HMM Hybrid Model,TP391.41
  13. Research and Application of the Gesture Modeling Algorithm,TP391.41
  14. Research on the Method for Query Term Weighting in Information Retrieval,TP391.3
  15. Research on Interaction-oriented Gesture Recognition,TP391.4
  16. The Improvement of the Performance and Application of Focused Crawlers Based on Hidden Markov Model,TP391.3
  17. A Study of Speech Features Extraction and Matching Algorithm under Noisy Conditions,TN912.34
  18. Research on HMM-Based Cross-Lingual Speech Synthesis,TN912.33
  19. Automatic Pornographic Video Recognition Based on Audio,TN912.34
  20. Research and Realization of Lip-reading Recognition System,TP391.41
  21. A Study of the Hidden Markov Models of Pattern Recognition,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