An Improved Tracking Algorithm Combing Color and LBP Texture Features Based on Particle Filter
| Autor: | Yan Hong Fu, En Zeng Dong, Li Ya Su |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Color histogram
Color normalization business.industry Local binary patterns ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition General Medicine Tracking (particle physics) Feature (computer vision) Histogram Video tracking Computer vision Artificial intelligence Particle filter business Algorithm Mathematics |
| Zdroj: | Applied Mechanics and Materials. :1484-1487 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.385-386.1484 |
| Popis: | In this paper, an tracking algorithm combing color and LBP texture features based on particle filter is proposed to overcome the disadvantages of existing particle filter object tracking methods. A color histogram and a texture histogram were combined to build the objects reference model, effectively improving the accuracy of object tracking. Experimental results demonstrate that, compared with the method based on single feature, the proposed method is highly effective, valid and is practicable. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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