Papers

@article{Rico-Diaz2015218,

title = {A detection system for vertical slot fishways using laser technology and computer vision techniques},

author = {Ángel J. Rico-Díaz and Álvaro Rodríguez and Daniel Villares-Budiño and Juan R. Rabuñal-Dopico and Jerónimo Puertas-Agudo and Luis Pena-Mosquera},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937469118&doi=10.1007%2f978-3-319-19258-1_19&partnerID=40&md5=5472196946c593e370a5082cd1b95903},

doi = {10.1007/978-3-319-19258-1_19},

issn = {03029743},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {9094},

pages = {218-226},

publisher = {Springer Verlag},

abstract = {Vertical slot fishways are structures that are placed in rivers to allow fish to avoid obstacles such as dams, hydroelectric plants. Knowing the frequency with which fish go through this type of structures can help to determine their efficiency, as well as know migratory features from species, determine if the fluvial course is healthy or if it is possible to fish with fauna preservation guarantees. A non-invasive method for fish detection, without the need of direct observation, which uses a laser sensor and computer vision techniques to detect fish, is proposed in this work. © Springer International Publishing Switzerland 2015.},

note = {cited By 5},

keywords = {Artificial intelligence; Fish; Fisheries; Fishways; Neural networks; Noninvasive medical procedures, Computer vision, Computer vision techniques; Detection system; Direct observations; Hydroelectric plant; Laser detection; Laser technologies; Noninvasive methods; Vertical slot fishways},

pubstate = {published},

tppubtype = {article}

}