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Real-time Human Motion Analysis by Image Skeletonization

Real-time Human Motion Analysis by Image Skeletonization. 指導教授：張元翔 老師 學生 ： 9977003 吳思穎. Outline. Introduction------------------------------------------------------3 Real-time target extraction-----------------------------------5

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Real-time Human Motion Analysis by Image Skeletonization

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  1. Real-time Human Motion Analysis by Image Skeletonization 指導教授：張元翔 老師 學生：9977003 吳思穎

  2. Outline • Introduction------------------------------------------------------3 • Real-time target extraction-----------------------------------5 • Target pre-processing-----------------------------------------6 • Pre-processing--------------------------------------------------6 • “Star” skeletonization-------------------------------------------7 • Advantages of “star” skeletonization---------------------------8 • Human motion analysis---------------------------------------10 • Significant features of the “star” skeleton----------------------10 • Cycle detection--------------------------------------------------12 • Analysis------------------------------------------------------------13 • Conclusion--------------------------------------------------------15

  3. Introduction • detecting and analyzing human motion in real time from video imagery has only recently become viable with algorithms like PJinder[9] and W4 [4]. • But！！！ Two main drawbacks：

  4. Introduction • They are completely human specific • They require a great deal of image-based information in order to work effectively

  5. Real-time target extraction • Temporal differencing • Background subtraction • Optical flow

  6. Target pre-processing • Pre-processing：

  7. Target pre-processing • “Star” skeletonization

  8. Target pre-processing • Advantages of “star” skeletonization： • It is not iterative and computationally cheap. • It explicitly provides a mechanism for controlling scale sensitivity. • It relies on no a priori human model.

  9. Target pre-processing

  10. Human motion analysis • Significant features of the “star” skeleton

  11. Human motion analysis • Significant features of the “star” skeleton

  12. Human motion analysis • Cycle detection

  13. Analysis • Figure 8. Histogram of cyclic motion frequency peaks. (a) The bias in often produces a frequency peak which is significantly higher than the peak produced by cyclic motion. (b) The pre-emphasis filter effectively removes this noise.

  14. Analysis

  15. Conclusion • Further, two analysis techniques have been investigated which can broadly classify human motion. Body inclination can be measured from the “star” skeleton to determine the postureof the human, which derives clues asto the type ofmotion being executed. • In addition, cyclic analysis of extremal points provides a very clean way of broadly distinguishing human motion in terms of walking and running and potentially even different types of gait.

  16. Thanks for everybody’s listening

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