Moving User Segmentation for Sports Simulator Using Frame Difference and Edge Detection
| Autor: | Son Hyung Kwan, Suyoung Chi |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Service (systems architecture)
business.industry Computer science Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Object (computer science) Edge detection Image (mathematics) Computer vision Segmentation Enhanced Data Rates for GSM Evolution Artificial intelligence business Simulation |
| Zdroj: | International Journal of Signal Processing Systems. :89-92 |
| ISSN: | 2315-4535 |
| DOI: | 10.12720/ijsps.1.1.89-92 |
| Popis: | This work presents a novel moving object segmentation approach using frame differencing method and edge detection to provide customized coaching service to users in advanced sports simulator like horse riding. To give this service in the simulator, exact user detection is very important. If the segmenting user from its background became better, we will get a better pose recognition results. In this paper, we will propose more exact user segmentation algorithm which gives better segmentation result than common temporal differencing method. To do this, edge image is applied in two ways. One is to eliminate noises on the temporal differencing image. Another is to make connected contour of user’s body shape. At the end of this paper, the result of our method will be given. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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