{"id":"https://openalex.org/W2911541932","doi":"https://doi.org/10.1142/s021984361950004x","title":"HOGHS and Zernike Moments Features-Based Motion-Blurred Object Tracking","display_name":"HOGHS and Zernike Moments Features-Based Motion-Blurred Object Tracking","publication_year":2019,"publication_date":"2019-01-31","ids":{"openalex":"https://openalex.org/W2911541932","doi":"https://doi.org/10.1142/s021984361950004x","mag":"2911541932"},"language":"en","primary_location":{"id":"doi:10.1142/s021984361950004x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021984361950004x","pdf_url":null,"source":{"id":"https://openalex.org/S75343556","display_name":"International Journal of Humanoid Robotics","issn_l":"0219-8436","issn":["0219-8436","1793-6942"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Humanoid Robotics","raw_type":"journal-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/A5103274916","display_name":"Guanglong Wang","orcid":"https://orcid.org/0000-0002-2252-082X"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Long Wang","raw_affiliation_strings":["Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717508","display_name":"Jie Tian","orcid":"https://orcid.org/0000-0001-7414-7038"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Tian","raw_affiliation_strings":["Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016266515","display_name":"Wenjie Zhu","orcid":"https://orcid.org/0009-0008-9461-7656"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Jie Zhu","raw_affiliation_strings":["Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102027218","display_name":"Dan Fang","orcid":"https://orcid.org/0000-0001-8258-0464"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Fang","raw_affiliation_strings":["Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Nanotechnology and Microsystems, Army Engineering University of PLA, Shijiazhuang Campus, Xinhua Zone, Shijiazhuang, Hebei 050003, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100717508"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.3972047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"01","first_page":"1950004","last_page":"1950004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9951000213623047,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9860000014305115,"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/zernike-polynomials","display_name":"Zernike polynomials","score":0.9388784766197205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8297246694564819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8187497854232788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479057312011719},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5448933839797974},{"id":"https://openalex.org/keywords/velocity-moments","display_name":"Velocity Moments","score":0.48767411708831787},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4386884570121765},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43783852458000183},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4142776131629944},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.29382795095443726},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10349652171134949},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09021422266960144},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07473969459533691}],"concepts":[{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.9388784766197205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8297246694564819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8187497854232788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479057312011719},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5448933839797974},{"id":"https://openalex.org/C149539972","wikidata":"https://www.wikidata.org/wiki/Q7919290","display_name":"Velocity Moments","level":4,"score":0.48767411708831787},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4386884570121765},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43783852458000183},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4142776131629944},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.29382795095443726},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10349652171134949},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09021422266960144},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07473969459533691},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021984361950004x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021984361950004x","pdf_url":null,"source":{"id":"https://openalex.org/S75343556","display_name":"International Journal of Humanoid Robotics","issn_l":"0219-8436","issn":["0219-8436","1793-6942"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Humanoid Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G538534678","display_name":null,"funder_award_id":"51327030104","funder_id":"https://openalex.org/F4320325551","funder_display_name":"National Defense Pre-Research Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320325551","display_name":"National Defense Pre-Research Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W2012507147","https://openalex.org/W2055783626","https://openalex.org/W2091887928","https://openalex.org/W2136713044","https://openalex.org/W2146507164","https://openalex.org/W2154889144","https://openalex.org/W2168356304","https://openalex.org/W2314316759","https://openalex.org/W2520477759","https://openalex.org/W2534491687","https://openalex.org/W2793932304"],"related_works":["https://openalex.org/W2738084969","https://openalex.org/W2954664659","https://openalex.org/W2093456906","https://openalex.org/W2243462516","https://openalex.org/W2914179169","https://openalex.org/W3174083786","https://openalex.org/W1971151","https://openalex.org/W2687972263","https://openalex.org/W2900582444","https://openalex.org/W2911541932"],"abstract_inverted_index":{"Motion-blurred":[0],"object":[1,30,41,61,176],"tracking":[2],"method":[3,75,91,119,168],"integrating":[4,47],"Histogram":[5],"of":[6,36,55,76,100,154,174],"Oriented":[7],"Gradients":[8],"and":[9,17,52,67,83,87,102,136,158],"Hue":[10],"Saturation":[11],"(HOGHS)":[12],"with":[13,29,49,122,151],"Zernike":[14,56,68,103],"moments":[15,57,104],"features":[16],"based":[18,88],"on":[19,89,110],"ECO_HC":[20],"tracker":[21,149],"was":[22,44,62,85,105,120,140],"proposed":[23,86,167],"in":[24],"this":[25],"study":[26],"to":[27,146],"deal":[28],"blur":[31,113],"caused":[32],"by":[33,46,64],"the":[34,37,40,53,90,97,111,166,172],"motion":[35,112],"camera":[38],"or":[39],"itself.":[42],"HOGHS":[43,66,101],"constructed":[45],"fHOG":[48],"color":[50],"features,":[51],"properties":[54,99],"were":[58,108,134],"introduced.":[59],"The":[60,127,162],"represented":[63],"combining":[65],"moments.":[69],"Furthermore,":[70],"a":[71],"novel":[72],"quality":[73],"evaluation":[74],"response":[77],"map":[78],"considering":[79],"both":[80],"positioning":[81],"accuracy":[82],"robustness":[84],"an":[92],"adaptive":[93],"fusion":[94],"strategy":[95],"utilizing":[96],"complementary":[98],"implemented.":[106],"Experiments":[107],"performed":[109],"sequences":[114],"from":[115],"OTB-100":[116],"datasheet.":[117],"Our":[118],"compared":[121],"four":[123],"other":[124],"state-of-the-art":[125],"methods.":[126],"precision":[128],"as":[129,131],"well":[130],"success":[132],"rate":[133],"0.849":[135],"0.827,":[137],"respectively.":[138],"Speed":[139],"38.4":[141],"FPS.":[142],"It":[143],"is":[144],"superior":[145],"VOT-2016\u2019s":[147],"excellent":[148],"ECO_HC,":[150],"relative":[152],"gains":[153],"2.3%":[155],"for":[156,160],"Pre-20":[157],"2.4%":[159],"AUC.":[161],"results":[163],"show":[164],"that":[165],"can":[169],"effectively":[170],"achieve":[171],"objective":[173],"motion-blurred":[175],"tracking.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}