{"id":"https://openalex.org/W2117617291","doi":"https://doi.org/10.1109/cit.2011.51","title":"A Review of Gradient-Based and Edge-Based Feature Extraction Methods for Object Detection","display_name":"A Review of Gradient-Based and Edge-Based Feature Extraction Methods for Object Detection","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2117617291","doi":"https://doi.org/10.1109/cit.2011.51","mag":"2117617291"},"language":"en","primary_location":{"id":"doi:10.1109/cit.2011.51","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2011.51","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 11th International Conference on Computer and Information Technology","raw_type":"proceedings-article"},"type":"review","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/A5100371339","display_name":"Sheng Wang","orcid":"https://orcid.org/0009-0006-8750-0519"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["School of Computing and Communications, University of Technology, Sydney, Sydney, NSW, Australia","Sch. of Comput. & Commun., Univ. of Technol. Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, University of Technology, Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Sch. of Comput. & Commun., Univ. of Technol. Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100371339"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.5232,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.70539359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"277","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.7776687741279602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6746988296508789},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.61161869764328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6083168983459473},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5553735494613647},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5531078577041626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5382281541824341},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49913525581359863},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4878849983215332},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.48153477907180786},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47454819083213806},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4464676082134247},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4395727813243866},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41542863845825195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37162134051322937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29997462034225464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12631598114967346},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07299870252609253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7776687741279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6746988296508789},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.61161869764328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6083168983459473},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5553735494613647},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5531078577041626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5382281541824341},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49913525581359863},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4878849983215332},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.48153477907180786},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47454819083213806},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4464676082134247},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4395727813243866},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41542863845825195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37162134051322937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29997462034225464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12631598114967346},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07299870252609253},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cit.2011.51","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2011.51","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 11th International Conference on Computer and Information Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/19208","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/19208","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1496659369","https://openalex.org/W1601741105","https://openalex.org/W1827748403","https://openalex.org/W1987118352","https://openalex.org/W1997245199","https://openalex.org/W2082218603","https://openalex.org/W2090518410","https://openalex.org/W2096525100","https://openalex.org/W2107634464","https://openalex.org/W2113047428","https://openalex.org/W2115763357","https://openalex.org/W2118384078","https://openalex.org/W2120907774","https://openalex.org/W2143998680","https://openalex.org/W2144502914","https://openalex.org/W2145295623","https://openalex.org/W2145855411","https://openalex.org/W2149077040","https://openalex.org/W2151103935","https://openalex.org/W2152469116","https://openalex.org/W2154422044","https://openalex.org/W2157890879","https://openalex.org/W2158504721","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2169671170","https://openalex.org/W2169696215","https://openalex.org/W2330337224","https://openalex.org/W2548197316","https://openalex.org/W2739698496","https://openalex.org/W6629645498","https://openalex.org/W6641446668","https://openalex.org/W6673243404","https://openalex.org/W6682394276","https://openalex.org/W6683616368"],"related_works":["https://openalex.org/W2534909612","https://openalex.org/W2021186063","https://openalex.org/W2372904789","https://openalex.org/W2757873631","https://openalex.org/W2164309059","https://openalex.org/W2288640447","https://openalex.org/W2266302971","https://openalex.org/W2140201873","https://openalex.org/W2340360913","https://openalex.org/W3089603412"],"abstract_inverted_index":{"In":[0,69,115,137],"computer":[1,81,105],"vision":[2,82,106],"research,":[3],"object":[4,17],"detection":[5],"based":[6,29,84],"on":[7,18,30,85,130],"image":[8,21,86,150,159],"processing":[9,87],"is":[10,162],"the":[11,131,140,167],"task":[12],"of":[13,25,158,169],"identifying":[14],"a":[15,19,23,77,156,174],"designated":[16],"static":[20],"or":[22],"sequence":[24],"video":[26],"frames.":[27],"Projects":[28],"such":[31],"research":[32,99,107,113],"works":[33],"have":[34,93,108],"been":[35,94,109],"widely":[36],"adopted":[37],"to":[38,46,75,104,122,165,171],"various":[39,98],"industrial":[40],"and":[41,65,88,101,124,144],"social":[42],"applications.":[43],"The":[44,176],"fields":[45],"which":[47],"those":[48,119],"applications":[49],"applies":[50],"includes":[51],"but":[52],"not":[53],"limited":[54],"to,":[55],"security":[56],"surveillance,":[57],"intelligent":[58],"transportation":[59],"system,":[60],"automated":[61],"manufacturing,":[62],"quality":[63],"control":[64],"supply":[66],"chain":[67],"management.":[68],"this":[70,138],"paper,":[71,139],"we":[72,117],"are":[73,146],"going":[74],"review":[76],"few":[78],"most":[79],"popular":[80],"methods":[83,92,120],"pattern":[89],"recognition.":[90],"Those":[91],"extensively":[95],"studied":[96],"in":[97,183],"papers":[100],"their":[102],"significance":[103],"proven":[110],"by":[111],"subsequent":[112],"works.":[114],"general,":[116],"categorize":[118],"into":[121],"gradient-based":[123],"edge-based":[125],"feature":[126],"extraction":[127],"methods,":[128],"depending":[129],"low":[132],"level":[133],"features":[134],"they":[135],"use.":[136],"definitions":[141],"for":[142,173,178],"gradient":[143,172],"edge":[145],"extended.":[147],"Because":[148],"an":[149],"can":[151,180],"also":[152],"be":[153,181],"considered":[154],"as":[155],"grid":[157],"patches,":[160],"it":[161],"therefore":[163],"reasonable":[164],"incorporate":[166],"concept":[168],"granules":[170,179],"review.":[175],"definition":[177],"found":[182],"[1].":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}