1. Recent Meanshift/Camshift Tracking Research

2.  Introduction  Improvement and combination  Individual introduction  conclusion outline

3.  Reference collection  More related work  Select from 2007 to now, all papers about meanshift/camshift on IEEE Introduction

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

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

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

7.  簡體中文  方法：靠近目標中心的像素點增加權重 An Improved Mean Shift Algorithm For Object Tracking

8.  HSV  SHSV(shift-HSV) The application of improved HSV color space model in image processing

9.  Area weighted centroid shifting algorithm New Method of Object Tracking under Complex Circumstance

10. Vehicle Tracking Method Using Background Subtraction and MeanShift Algorithm

11.  Active Shape Model (ASM) Video Facial Feature Tracking with Enhanced ASM and Predicted Meanshift

12. A MeanShift-Particle Fusion Tracking Algorithm Based on SIFT*

13.  A. MeanShift algorithm B. Contour detection A Real Time Object Tracking System for Contrast Media Injection

14.  MOVING OBJECT DETECTION A Robust Combined Algorithim of Object Tracking Based on Moving Object Detection

15.  LSSVM = least square SVM Anti-occlusion Tracking Algorithm Based on LSSVM Prediction and Kalman-MeanShift

16.  ABCshift = Apapting Background Camshift Efficient visual servoing with the ABCshift tracking algorithm

17. Object Tracking Algorithm Based on Meanshift Algorithm Combining with Motion Vector analysis

18.  增加了不少文章的 reference  對機器人追蹤有現成的進階做法能參考 Conclusion