Evaluation of Unsupervised Segmentation Algorithms for Silhouette Extraction in Human Action Video Sequences
| العنوان: | Evaluation of Unsupervised Segmentation Algorithms for Silhouette Extraction in Human Action Video Sequences |
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| المؤلفون: | G. Salgues, Sergio A. Velastin, Adolfo Martínez-Usó |
| المصدر: | Lecture Notes in Computer Science ISBN: 9783642251900 IVIC (1) |
| بيانات النشر: | Springer Berlin Heidelberg, 2011. |
| سنة النشر: | 2011 |
| مصطلحات موضوعية: | High contrast, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Unsupervised segmentation, Video sequence, Pattern recognition, Silhouette, Action (philosophy), Image segmentation algorithm, Segmentation, Computer vision, Artificial intelligence, business, Algorithm |
| الوصف: | The main motivation of this work is to find and evaluate solutions for generating binary masks (silhouettes) of foreground targets in an automatic way. To this end, four renowned unsupervised image segmentation algorithms are applied to foreground segmentation. A comparison among these algorithms is carried out using the MuHAVi dataset of multi-camera human action video sequences. This dataset presents significant challenges in terms of harsh illumination resulting for example in high contrast and deep shadows. The segmentation results have been objectively evaluated against manually derived ground-truth silhouettes. |
| ردمك: | 978-3-642-25190-0 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::15fde37323e415e625cb8260503efcab https://doi.org/10.1007/978-3-642-25191-7_2 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........15fde37323e415e625cb8260503efcab |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783642251900 |
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