Computer vision methods for robot tasks: Motion detection, depth estimation and tracking
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Título
Computer vision methods for robot tasks: Motion detection, depth estimation and trackingAutoría
Fecha de publicación
2012-09Editor
IOS PressTipo de documento
info:eu-repo/semantics/articlePalabras clave / Materias
Resumen
On the way to autonomous robots, perception is a key point. Among all the perception senses, vision is undoubtedly the
most important for the information it can provide. However, it is not easy to identify what is ... [+]
On the way to autonomous robots, perception is a key point. Among all the perception senses, vision is undoubtedly the
most important for the information it can provide. However, it is not easy to identify what is seen from the provided visual input.
On this regard, inspired by humans, we have studied motion as a primary cue. Particularly, we present a computational solution
for motion detection, object location and tracking from images captured by perspective and fisheye cameras. The proposed
approach has been validated with an extensive set of experiments and applications using different testbeds of real environments
with real and/or virtual targets. [-]
Publicado en
AI Communications, v.25, n. 4Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- ICC_Articles [413]