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

Outline Introduction Real-time target extraction Target pre-processing  Pre-processing  “Star” skeletonization  Advantages of “star” skeletonization Human motion analysis  Significant features of the “star” skeleton  Cycle detection Analysis Conclusion

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 ：

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

Real-time target extraction Temporal differencing Background subtraction Optical flow

Target pre-processing Pre-processing ：

Target pre-processing “Star” skeletonization

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.

Target pre-processing

Human motion analysis Significant features of the “star” skeleton

Human motion analysis Significant features of the “star” skeleton

Human motion analysis Cycle detection

Analysis

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 posture of the human, which derives clues as to the type of motion 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.

Thanks for everybody’s listening