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Motion History Images for Action Recognition and Understanding
Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Colección: | SpringerBriefs in Computer Science,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 100 | 1 | |a Ahad, Md. Atiqur Rahman. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Motion History Images for Action Recognition and Understanding |h [electronic resource] / |c by Md. Atiqur Rahman Ahad. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2013. | |
| 300 | |a XVI, 116 p. 34 illus. |b online resource. | ||
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| 490 | 1 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
| 505 | 0 | |a Introduction -- Action Representation -- Motion History Image -- Action Datasets and MHI. | |
| 520 | |a Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants. | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 1 | 4 | |a Automated Pattern Recognition. |
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| 776 | 0 | 8 | |i Printed edition: |z 9781447147312 |
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| 830 | 0 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
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| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||