33 research outputs found
Real time vehicle recognition: a novel method for road detection
Knowing the location of the road in an intelligent traffic systems is one of the most used solutions to ease vehicle detection. For this purpose we propose a vehicle recognition algorithm which performs a real time automatic detection of the zones which vehicles occupy. Such algorithm is capable of functioning under extreme conditions such as low resolution, low capture angle and gray scale images.Peer ReviewedPreprin
Real time vehicle recognition: A novel method for road detection
Trabajo presentado al 13th International Conference EUROCAST celebrada en Las Palmas de Gran Canaria del 6 al 11 de febrero de 2011.Knowing the location of the road in an intelligent traffic systems is one of the most used solutions to ease vehicle detection. For this purpose we propose a vehicle recognition algorithm which performs a real time automatic detection of the zones which vehicles occupy. Such algorithm is capable of functioning under extreme conditions such as low resolution, low capture angle and gray scale images.Peer Reviewe
Computer aided systems theory - EUROCAST 2015: 15th international conference, Las Palmas de Gran Canaria, Spain, February 8-13, 2015, revised selected papers
Computer Aided Systems Theory - EUROCAST 201314th International Conference, Las Palmas de Gran Canaria, Spain, February 10-15, 2013, Revised Selected Papers, Part I /
XXIV, 518 p. 190 illus.online resource
Ubiquitous computing and ambient intelligence: 10th international conference, UCAMI 2016, San Bartolomé de Tirajana, Gran Canaria, Spain, November 29 - December 2, 2016, part II
Real time vehicle recognition: a novel method for road detection
Knowing the location of the road in an intelligent traffic systems is one of the most used solutions to ease vehicle detection. For this purpose we propose a vehicle recognition algorithm which performs a real time automatic detection of the zones which vehicles occupy. Such algorithm is capable of functioning under extreme conditions such as low resolution, low capture angle and gray scale images.Peer Reviewe