Recent Meanshift/Camshift Tracking Research. Introduction Improvement and combination Individual introduction conclusion outline

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  • Slide 1
  • Recent Meanshift/Camshift Tracking Research
  • Slide 2
  • Introduction Improvement and combination Individual introduction conclusion outline
  • Slide 3
  • Reference collection More related work Select from 2007 to now, all papers about meanshift/camshift on IEEE Introduction
  • Slide 4
  • Improvement: (1) An Improved Mean Shift Algorithm For Object Tracking (2) The application of improved HSV color space model in image processing (3) New Method of Object Tracking under Complex Circumstance Improvement and combination
  • Slide 5
  • combination: (1) Vehicle Tracking Method Using Background Subtraction and MeanShift Algorithm (2) Video Facial Feature Tracking with Enhanced ASM and Predicted Meanshift (3) A MeanShift-Particle Fusion Tracking Algorithm Based on SIFT* (4) A Real Time Object Tracking System for Contrast Media Injection Improvement and combination
  • Slide 6
  • combination: (5) A Robust Combined Algorithim of Object Tracking Based on Moving Object Detection (6) Anti-occlusion Tracking Algorithm Based on LSSVM Prediction and Kalman-MeanShift (7) Efficient visual servoing with the ABCshift tracking algorithm (8) Object Tracking Algorithm Based on Meanshift Algorithm Combining with Motion Vector analysis Improvement and combination
  • Slide 7
  • An Improved Mean Shift Algorithm For Object Tracking
  • Slide 8
  • HSV SHSV(shift-HSV) The application of improved HSV color space model in image processing
  • Slide 9
  • Area weighted centroid shifting algorithm New Method of Object Tracking under Complex Circumstance
  • Slide 10
  • Vehicle Tracking Method Using Background Subtraction and MeanShift Algorithm
  • Slide 11
  • Active Shape Model (ASM) Video Facial Feature Tracking with Enhanced ASM and Predicted Meanshift
  • Slide 12
  • A MeanShift-Particle Fusion Tracking Algorithm Based on SIFT*
  • Slide 13
  • A. MeanShift algorithm B. Contour detection A Real Time Object Tracking System for Contrast Media Injection
  • Slide 14
  • MOVING OBJECT DETECTION A Robust Combined Algorithim of Object Tracking Based on Moving Object Detection
  • Slide 15
  • LSSVM = least square SVM Anti-occlusion Tracking Algorithm Based on LSSVM Prediction and Kalman-MeanShift
  • Slide 16
  • ABCshift = Apapting Background Camshift Efficient visual servoing with the ABCshift tracking algorithm
  • Slide 17
  • Object Tracking Algorithm Based on Meanshift Algorithm Combining with Motion Vector analysis
  • Slide 18
  • reference Conclusion