dc.creator | GLORIA CASTRO MUNOZ | |
dc.date | 2015-12-11 | |
dc.date.accessioned | 2018-11-19T14:24:57Z | |
dc.date.available | 2018-11-19T14:24:57Z | |
dc.identifier | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/27 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/2258177 | |
dc.description | The Human Action Recognition (HAR) from video sequences is a topic which has
captured the interest of a large number of researchers from industry, academia,
consumer agencies and security agencies. The solid interest in the topic is motivated
by the wide variety and importance of promising applications for example
rehabilitation of patients, monitoring and supporting of children and elderly people,
automatic annotation of video, human-computer interfaces, and video surveillance
among others.
Particularly the increasing demand for security and safety by society in recent
years has occasioned significant advances in video surveillance technology. However
despite these advances, video surveillance systems are not able to analyze in realtime
the huge amounts of video coming from video surveillance cameras installed in
the worldwide and therefore, they can’t detect and alert about potential criminal
activity in real-time. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.publisher | Instituto Nacional de Astrofísica, Óptica y Electrónica | |
dc.relation | citation:Castro-Muñoz G. | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | info:eu-repo/classification/Tiempo real/Real-time | |
dc.subject | info:eu-repo/classification/Reconocimiento/Human action recognition | |
dc.subject | info:eu-repo/classification/Video/Video surveillance | |
dc.subject | info:eu-repo/classification/SVM/Support Vector Machine | |
dc.subject | info:eu-repo/classification/cti/1 | |
dc.subject | info:eu-repo/classification/cti/22 | |
dc.subject | info:eu-repo/classification/cti/2203 | |
dc.title | Real-time human action recognition using a reduced feature set | |
dc.type | Tesis | |
dc.audience | generalPublic | |