Fast face localization for mobile robots: signature analysis and color processing
| Autor: | Manuel Grana Romay, Bogdan Raducanu, Ana González, Imanol Echave |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Color image
business.industry media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Mobile robot Image segmentation Art Color quantization Face (geometry) Computer vision Segmentation Artificial intelligence Quantization (image processing) business media_common |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.325785 |
| Popis: | The purpose of our works is to provide fast and reliable face localization techniques in real time an in real-life scenes. Person localization is included in this problem. The end application sought is the ability of mobile robots to navigate in human populated environments, and to start visual interaction with them. Known methods are computationally intensive, far from real time implementation at near future processing power of off-the-shelf processors. Our technique is based in motion segmentation, signature analysis and color processing. Signature analysis provides fast hints of the person and face localization. Color processing is used to confirm the face hypothesis, and it is based on our works on adaptive color quantization of image sequences. The technique can be implemented in real time and combined with other approaches to enhance the recognition results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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