Color video segmentation by lateral inhibition in accumulative computation
The lateral inhibition in accumulative computation (LIAC) algorithm has proved to be an efficient method for moving object segmentation in gray-level video sequences. This paper reviews the main steps and features of the LIAC algorithm, and assesses the suitability of applying the LIAC algorithm to...
| Autores: | , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2014 |
| País: | España |
| Recursos: | Universidad de Castilla-La Mancha |
| Repositorio: | RUIdeRA. Repositorio Institucional de la UCLM |
| OAI Identifier: | oai:ruidera.uclm.es:10578/4024 |
| Acesso em linha: | http://hdl.handle.net/10578/4024 |
| Access Level: | acceso abierto |
| Palavra-chave: | Ingenierías |
| Resumo: | The lateral inhibition in accumulative computation (LIAC) algorithm has proved to be an efficient method for moving object segmentation in gray-level video sequences. This paper reviews the main steps and features of the LIAC algorithm, and assesses the suitability of applying the LIAC algorithm to the segmentation of color videos. Two widely used color spaces, namely RGB and HLS, are used for validating the LIAC algorithm, and a comparison is provided after performance evaluation of the algorithm in both color spaces. |
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