{"id":"https://openalex.org/W3136429875","doi":"https://doi.org/10.1145/3448748.3448789","title":"A Modified HOG Algorithm based on the Prewitt Operator","display_name":"A Modified HOG Algorithm based on the Prewitt Operator","publication_year":2021,"publication_date":"2021-01-22","ids":{"openalex":"https://openalex.org/W3136429875","doi":"https://doi.org/10.1145/3448748.3448789","mag":"3136429875"},"language":"en","primary_location":{"id":"doi:10.1145/3448748.3448789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","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/A5100345915","display_name":"Yu Li","orcid":"https://orcid.org/0000-0003-1865-8276"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Li","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080494325","display_name":"Nanxi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanxi Huang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083019552","display_name":"Kongling Liu","orcid":"https://orcid.org/0000-0001-6227-0215"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kongling Liu","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039847189","display_name":"Hongguan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongguan Chen","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389369","display_name":"Ziwei Wang","orcid":"https://orcid.org/0000-0002-0107-7347"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Wang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070586877","display_name":"Juan Yu","orcid":"https://orcid.org/0000-0003-1402-6511"},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Yu","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan Hubei China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100345915"],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02578431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"013","issue":null,"first_page":"257","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9987999796867371,"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":0.9957000017166138,"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/prewitt-operator","display_name":"Prewitt operator","score":0.9810727834701538},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6825414896011353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6782572269439697},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6552146673202515},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6487423777580261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6274834275245667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5968061089515686},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5408284068107605},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5336635112762451},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5184085369110107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5124979019165039},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5021286010742188},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4984264373779297},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.4661511182785034},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37050604820251465},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35508930683135986},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3203481137752533},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.1772829294204712},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13239946961402893}],"concepts":[{"id":"https://openalex.org/C155012704","wikidata":"https://www.wikidata.org/wiki/Q451898","display_name":"Prewitt operator","level":5,"score":0.9810727834701538},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6825414896011353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6782572269439697},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6552146673202515},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6487423777580261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6274834275245667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968061089515686},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5408284068107605},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5336635112762451},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5184085369110107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5124979019165039},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5021286010742188},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4984264373779297},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.4661511182785034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37050604820251465},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35508930683135986},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3203481137752533},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.1772829294204712},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13239946961402893},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448748.3448789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W70115053","https://openalex.org/W88118784","https://openalex.org/W1506254398","https://openalex.org/W1766717923","https://openalex.org/W1894597046","https://openalex.org/W1954180453","https://openalex.org/W1989591022","https://openalex.org/W1992914425","https://openalex.org/W1997636765","https://openalex.org/W1999853363","https://openalex.org/W2041464835","https://openalex.org/W2080130515","https://openalex.org/W2081021369","https://openalex.org/W2130931342","https://openalex.org/W2161969291","https://openalex.org/W2229366258","https://openalex.org/W2334457777","https://openalex.org/W2409311503","https://openalex.org/W2503282287","https://openalex.org/W2508493797","https://openalex.org/W2558784596","https://openalex.org/W2590310067","https://openalex.org/W2773065167","https://openalex.org/W4247924304","https://openalex.org/W4301498184","https://openalex.org/W6606683808","https://openalex.org/W6623404813","https://openalex.org/W6650631921","https://openalex.org/W6680077701","https://openalex.org/W6683359476","https://openalex.org/W6687626294","https://openalex.org/W6730985874"],"related_works":["https://openalex.org/W2144628112","https://openalex.org/W2367298911","https://openalex.org/W2545393398","https://openalex.org/W4312567938","https://openalex.org/W2381734734","https://openalex.org/W2356242818","https://openalex.org/W2354100707","https://openalex.org/W2028915339","https://openalex.org/W2365950611","https://openalex.org/W2348584852"],"abstract_inverted_index":{"The":[0,28,100],"histogram":[1],"of":[2,37,47,66,88,96,115],"oriented":[3],"gradient(HOG)":[4],"is":[5,22],"a":[6],"feature":[7,31,109],"descriptor":[8],"used":[9,24],"for":[10,25],"object":[11],"detection":[12],"in":[13],"the":[14,34,38,45,53,59,64,72,77,84,94,106,113],"computer":[15],"vision":[16],"and":[17,20,86],"image":[18,30],"processing,":[19],"it":[21],"widely":[23],"pedestrian":[26,39,116],"detection.":[27,40,117],"conspicuous":[29,107],"can":[32],"improve":[33,44,112],"detective":[35],"accuracy":[36],"In":[41],"order":[42],"to":[43,75],"conspicuousness":[46],"extracted":[48,89,101],"gradient,":[49],"this":[50,69],"paper":[51,70],"modifies":[52],"gradient":[54,78,90,95,102],"extraction":[55],"operator":[56,74],"based":[57],"on":[58],"traditional":[60,97],"HOG":[61,98,108],"algorithm.":[62,99],"By":[63],"tests":[65],"different":[67],"operators,":[68],"chooses":[71],"Prewitt":[73],"extract":[76],"information.":[79],"Experimental":[80],"results":[81],"indicate":[82],"that":[83,110],"mean":[85],"variance":[87],"are":[91],"larger":[92],"than":[93],"should":[103],"be":[104],"generated":[105],"may":[111],"performance":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}