{"id":"https://openalex.org/W1665356811","doi":"https://doi.org/10.1109/iccis.2015.7274594","title":"Use of convolutional neural networks to automate the detection of wildlife from remote cameras","display_name":"Use of convolutional neural networks to automate the detection of wildlife from remote cameras","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1665356811","doi":"https://doi.org/10.1109/iccis.2015.7274594","mag":"1665356811"},"language":"en","primary_location":{"id":"doi:10.1109/iccis.2015.7274594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccis.2015.7274594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032155658","display_name":"Rajarshi Maiti","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rajarshi Maiti","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada","Department of Computing Science, University of Alberta.Edmonton, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta.Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102013608","display_name":"Yi Hou","orcid":"https://orcid.org/0000-0002-0267-7029"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Hou","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074329247","display_name":"Colleen Cassady St. Clair","orcid":"https://orcid.org/0000-0002-3378-795X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Colleen Cassady St. Clair","raw_affiliation_strings":["Department of Biological Sciences, University of Alberta, Edmonton, AB, CA","Department of Biological Sciences University of Alberta"],"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, University of Alberta, Edmonton, AB, CA","institution_ids":[]},{"raw_affiliation_string":"Department of Biological Sciences University of Alberta","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430266","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-1677-6132"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada","Department of Computing Science, University of Alberta.Edmonton, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Computing Science, University of Alberta.Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032155658"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.02660949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"42","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10199","display_name":"Wildlife Ecology and Conservation","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8484723567962646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463306188583374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6522043943405151},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.518559992313385},{"id":"https://openalex.org/keywords/wildlife","display_name":"Wildlife","score":0.4892005920410156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47600850462913513},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.434002548456192},{"id":"https://openalex.org/keywords/ursus","display_name":"Ursus","score":0.4101032018661499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38122430443763733},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.320313036441803},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.26605457067489624},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.23249083757400513},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.07513988018035889}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8484723567962646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463306188583374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6522043943405151},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.518559992313385},{"id":"https://openalex.org/C29376679","wikidata":"https://www.wikidata.org/wiki/Q241741","display_name":"Wildlife","level":2,"score":0.4892005920410156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47600850462913513},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.434002548456192},{"id":"https://openalex.org/C2776653109","wikidata":"https://www.wikidata.org/wiki/Q243359","display_name":"Ursus","level":3,"score":0.4101032018661499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38122430443763733},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.320313036441803},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.26605457067489624},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.23249083757400513},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.07513988018035889},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccis.2015.7274594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccis.2015.7274594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.75,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1487583988","https://openalex.org/W2010181071","https://openalex.org/W2031489346","https://openalex.org/W2071821890","https://openalex.org/W2104446196","https://openalex.org/W2109255472","https://openalex.org/W2110226160","https://openalex.org/W2117539524","https://openalex.org/W2124404372","https://openalex.org/W2129305389","https://openalex.org/W2131846894","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2147237076","https://openalex.org/W2151103935","https://openalex.org/W2155541015","https://openalex.org/W2155893237","https://openalex.org/W2161381512","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2179352600","https://openalex.org/W2963542991","https://openalex.org/W3210232381","https://openalex.org/W4294375521","https://openalex.org/W6629368666","https://openalex.org/W6675396308","https://openalex.org/W6676338569","https://openalex.org/W6681239517","https://openalex.org/W6682778277","https://openalex.org/W6683411478","https://openalex.org/W6684191040","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W1997207767","https://openalex.org/W2801880861","https://openalex.org/W2808493216","https://openalex.org/W2184110056","https://openalex.org/W2949566309","https://openalex.org/W2755524628","https://openalex.org/W4391120150","https://openalex.org/W2072195876","https://openalex.org/W11194132","https://openalex.org/W2145892083"],"abstract_inverted_index":{"Determining":[0],"the":[1,52,60,91,114,137,166,176],"abundance,":[2],"distribution,":[3],"and":[4,17,22,33,67,128],"habitat":[5],"associations":[6],"of":[7,55,62,76,93,165,175,186],"wildlife":[8],"species":[9],"is":[10,65,82,144,159],"important":[11],"for":[12],"understanding":[13],"their":[14],"ecology,":[15],"behavior":[16],"conservation.":[18],"For":[19],"mobile,":[20],"rare,":[21],"wide-ranging":[23],"species,":[24],"biologists":[25],"often":[26],"obtain":[27],"this":[28,70,86],"information":[29],"from":[30,151,168],"remote":[31],"cameras":[32],"time-lapse":[34],"photography.":[35],"The":[36],"captured":[37],"images":[38,56,167,178],"are":[39],"then":[40,129],"visually":[41],"inspected":[42],"to":[43,51,57,84,120,139,161],"identify":[44],"those":[45],"that":[46,81,123,156,179],"contain":[47,125,180],"useful":[48],"information.":[49],"Due":[50],"large":[53],"number":[54],"be":[58],"processed,":[59],"task":[61],"visual":[63],"inspection":[64,170],"painstaking":[66],"tedious.":[68],"In":[69],"paper,":[71],"we":[72,89,111],"describe":[73],"preliminary":[74],"results":[75,150],"an":[77],"automated":[78],"screening":[79],"system":[80,158],"intended":[83],"alleviate":[85],"problem.":[87],"Specifically,":[88],"study":[90],"problem":[92],"detecting":[94],"grizzly":[95],"bears":[96],"(Ursus":[97],"acrtos)":[98],"in":[99,146],"still":[100],"images,":[101],"using":[102],"a":[103,126,131,142,147,152,181,184],"convolutional":[104,133],"neural":[105,134],"network":[106,135],"(CNN).":[107],"Given":[108],"each":[109],"image,":[110],"first":[112],"use":[113],"Maximally":[115],"Stable":[116],"Extremal":[117],"Regions":[118],"(MSER)":[119],"segment":[121],"sub-regions":[122],"potentially":[124],"bear":[127,143],"apply":[130],"pre-trained":[132],"as":[136],"classifier":[138],"determine":[140],"if":[141],"present":[145],"sub-region.":[148],"Experimental":[149],"real-world":[153],"dataset":[154],"demonstrate":[155],"our":[157],"able":[160],"eliminate":[162],"over":[163,173],"90%":[164],"human":[169],"while":[171],"recalling":[172],"60%":[174],"positive":[177],"bear,":[182],"at":[183],"rate":[185],"approximately":[187],"one":[188],"minute":[189],"per":[190],"image.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}