Abstract
Considering the problem that the traditional optical flow algorithm is a time-consuming computation. An integrated method of detecting human motion is proposed based on the sum of absolute differences (SAD) and optical flow. The motion sub-region is detected by the computation of SAD. The optical flow vectors of the object can be obtained by computing optical flow on the motion sub-region. In the post processing, closing and connected components analysis are used for the segmentation of human object. Experimental results showed the effectiveness and robustness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 794-797 |
| Number of pages | 4 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 28 |
| Issue number | 9 |
| Publication status | Published - Sept 2008 |
Keywords
- Human motion
- Object segmentation
- Optical flow method
- Sum of absolute differences (SAD)
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Shi, J. D., Wang, J. Z., & Wang, H. R. (2008). Real-time detection method of human motion based on optical flow. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 28(9), 794-797.