{"id":"https://openalex.org/W2294360033","doi":"https://doi.org/10.5220/0004827506540661","title":"Use of Multiple Low Level Features to Find Interesting Regions","display_name":"Use of Multiple Low Level Features to Find Interesting Regions","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2294360033","doi":"https://doi.org/10.5220/0004827506540661","mag":"2294360033"},"language":"en","primary_location":{"id":"doi:10.5220/0004827506540661","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004827506540661","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004827506540661","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090967036","display_name":"Michael Borck","orcid":null},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]},{"id":"https://openalex.org/I2800497579","display_name":"CRC for Spatial information","ror":"https://ror.org/022482e21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2800497579"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Borck","raw_affiliation_strings":["Department of Spatial Sciences, Curtin University, Perth, Australia","CRC for Spatial Information, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Spatial Sciences, Curtin University, Perth, Australia","institution_ids":["https://openalex.org/I2800497579","https://openalex.org/I205640436"]},{"raw_affiliation_string":"CRC for Spatial Information, Australia","institution_ids":["https://openalex.org/I2800497579"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075769902","display_name":"Geoff West","orcid":"https://orcid.org/0000-0003-3279-3642"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]},{"id":"https://openalex.org/I2800497579","display_name":"CRC for Spatial information","ror":"https://ror.org/022482e21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2800497579"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Geoff West","raw_affiliation_strings":["Department of Spatial Sciences, Curtin University, Perth, Australia","CRC for Spatial Information, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Spatial Sciences, Curtin University, Perth, Australia","institution_ids":["https://openalex.org/I2800497579","https://openalex.org/I205640436"]},{"raw_affiliation_string":"CRC for Spatial Information, Australia","institution_ids":["https://openalex.org/I2800497579"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091801631","display_name":"Tele Tan","orcid":"https://orcid.org/0000-0003-3195-3480"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]},{"id":"https://openalex.org/I2800497579","display_name":"CRC for Spatial information","ror":"https://ror.org/022482e21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2800497579"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tele Tan","raw_affiliation_strings":["Department of Mechanical Engineering, Curtin University, Perth, Australia","CRC for Spatial Information, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Curtin University, Perth, Australia","institution_ids":["https://openalex.org/I205640436"]},{"raw_affiliation_string":"CRC for Spatial Information, Australia","institution_ids":["https://openalex.org/I2800497579"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17210172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"654","last_page":"661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8185346126556396},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6158703565597534},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5976572036743164},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5879722237586975},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5601513981819153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378624200820923},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5366579294204712},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5235642790794373},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5086239576339722},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.47514891624450684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44697391986846924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4274420142173767},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4103170931339264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4011481702327728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36434853076934814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26977795362472534},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15629830956459045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185346126556396},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6158703565597534},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5976572036743164},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5879722237586975},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5601513981819153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378624200820923},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5366579294204712},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5235642790794373},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5086239576339722},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.47514891624450684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44697391986846924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4274420142173767},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4103170931339264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4011481702327728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36434853076934814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26977795362472534},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15629830956459045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0004827506540661","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004827506540661","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/8999","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/8999","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.5220/0004827506540661","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004827506540661","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.75,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W37216756","https://openalex.org/W172019652","https://openalex.org/W1517404776","https://openalex.org/W1544435011","https://openalex.org/W1591677984","https://openalex.org/W2022604464","https://openalex.org/W2035754981","https://openalex.org/W2100734324","https://openalex.org/W2108900252","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2129957127","https://openalex.org/W2137539029","https://openalex.org/W2148654450","https://openalex.org/W2151103935","https://openalex.org/W2158315309","https://openalex.org/W2160172778","https://openalex.org/W2161969291","https://openalex.org/W2177274842","https://openalex.org/W2539554351"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Vehicle-based":[0],"mobile":[1],"mapping":[2],"systems":[3],"capture":[4],"co-registered":[5],"imagery":[6],"and":[7,30,49,67,84,116,128,134,144,166],"3D":[8],"point":[9],"cloud":[10],"information":[11,22],"over":[12],"hundreds":[13],"of":[14,16,53,65,91,94,101,142],"kilometres":[15],"transport":[17],"corridor.":[18],"Methods":[19],"for":[20,149],"extracting":[21],"from":[23,137],"these":[24],"large":[25,63],"datasets":[26],"are":[27,33,147],"labour":[28],"intensive":[29],"automatic":[31],"methods":[32,38],"desired.":[34],"In":[35],"addition,":[36],"such":[37],"need":[39],"to":[40,47,60,73,82,123,162,169],"be":[41],"easily":[42],"configured":[43],"by":[44],"non-expert":[45,160],"users":[46],"detect":[48],"measure":[50,129],"many":[51],"classes":[52],"objects.":[54,132],"This":[55,104],"paper":[56],"describes":[57],"a":[58,62,113,159],"workflow":[59],"take":[61],"number":[64,100],"image":[66],"depth":[68,135],"features,":[69],"use":[70],"machine":[71],"learning":[72,154],"generate":[74],"an":[75,98],"object":[76],"detection":[77,90],"system":[78,122],"that":[79],"is":[80,88,105,110],"fast":[81],"configure":[83],"run.":[85],"The":[86,156],"output":[87,109],"high":[89],"the":[92,108,125,130,164,171],"objects":[93,141],"interest":[95,143],"but":[96],"with":[97,151],"acceptable":[99],"false":[102,126],"alarms.":[103],"desirable":[106],"as":[107],"fed":[111],"into":[112],"more":[114,118],"complex":[115],"hence":[117],"computationally":[119],"expensive":[120],"analysis":[121],"reject":[124],"alarms":[127],"remaining":[131],"Image":[133],"features":[136],"bounding":[138],"boxes":[139],"around":[140],"random":[145],"background":[146],"used":[148],"training":[150],"some":[152],"popular":[153],"algorithms.":[155],"interface":[157],"allows":[158],"user":[161],"observe":[163],"performance":[165],"make":[167],"modifications":[168],"improve":[170],"performance.":[172],"Copyright":[173],"\u00a9":[174],"2014":[175],"SCITEPRESS.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}