Human Body Part Segmentation of Interacting People by Learning Blob Models
| Autor: | Jun-Wei Hsieh, Ying-Nong Chen, Luo-Wei Tsai, Chi-Hung Chuang, Chun-Chieh Lee |
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| Rok vydání: | 2012 |
| Předmět: |
Scheme (programming language)
business.industry Computer science Gaussian ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Triangulation (computer vision) Image segmentation Multiple-criteria decision analysis Mixture model symbols.namesake symbols Computer vision Segmentation Artificial intelligence business computer Gaussian process computer.programming_language |
| Zdroj: | IIH-MSP |
| Popis: | In this paper, a scheme is proposed for solving segmentation problem when people engage in body contact in a video sequence. First, the body parts belonging to each interacting person are extracted using the deformable triangulation technique. The color blobs of each person are learned by Gaussian mixtures model on the fly before the person is interacting with another. Finally, those learned blob models are employed as decision criteria to segment each involved person out. The experimental results show that the proposed approach handles this kind of segmentation in an effective way. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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