Распознавание объекта в сцене на основе модели непроизвольного внимания с использованием OpenCL
| Parent link: | Технологии Microsoft в теории и практике программирования.— 2014.— [С. 97-99] |
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| 要約: | Заглавие с титульного листа. In this paper the algorithm of object tracking based on bottom-up attention is presented. First, the one-dimensional images were extracted from original image such as color and intensity maps. Then they combined into saliency map, which maximums corresponds to the most salient locations. Finally, the adaptive threshold is used to determine the location of objects on image. To accelerate the algorithm, the OpenCL version of the algorithm has been implemented. Experimental results demonstrate effectiveness of the algorithm for single and multiple object tracking. Implementation on OpenCL improves performance of the system. |
| 言語: | ロシア語 |
| 出版事項: |
2014
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| シリーズ: | Математическое моделирование и технологии высокопроизводительных вычислений |
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| オンライン･アクセス: | http://www.lib.tpu.ru/fulltext/c/2014/C28/037.pdf |
| フォーマット: | 電子媒体 図書の章 |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=609520 |