{"id":"https://openalex.org/W4399801351","doi":"https://doi.org/10.1109/ichms59971.2024.10555816","title":"Moving Object Recognition and Tracking Based on Image-fusion Frame Differencing and Differential Translational Transform","display_name":"Moving Object Recognition and Tracking Based on Image-fusion Frame Differencing and Differential Translational Transform","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4399801351","doi":"https://doi.org/10.1109/ichms59971.2024.10555816"},"language":"en","primary_location":{"id":"doi:10.1109/ichms59971.2024.10555816","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ichms59971.2024.10555816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100678189","display_name":"Ming\u2010Hui Chen","orcid":"https://orcid.org/0000-0003-1935-2447"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghui Chen","raw_affiliation_strings":["Liaoning University,College of Information,Shenyang,China","College of Information, Liaoning University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning University,College of Information,Shenyang,China","institution_ids":["https://openalex.org/I118803816"]},{"raw_affiliation_string":"College of Information, Liaoning University, Shenyang, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049742708","display_name":"Yingjun Ji","orcid":"https://orcid.org/0000-0001-9988-3314"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjun Ji","raw_affiliation_strings":["Liaoning University,College of Information,Shenyang,China","College of Information, Liaoning University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning University,College of Information,Shenyang,China","institution_ids":["https://openalex.org/I118803816"]},{"raw_affiliation_string":"College of Information, Liaoning University, Shenyang, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108956354","display_name":"Aoyuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoyuan Wang","raw_affiliation_strings":["Liaoning University,College of Information,Shenyang,China","College of Information, Liaoning University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning University,College of Information,Shenyang,China","institution_ids":["https://openalex.org/I118803816"]},{"raw_affiliation_string":"College of Information, Liaoning University, Shenyang, China","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069580705","display_name":"Jiacun Wang","orcid":"https://orcid.org/0000-0003-4176-3947"},"institutions":[{"id":"https://openalex.org/I141450709","display_name":"Monmouth University","ror":"https://ror.org/01d6qxv05","country_code":"US","type":"education","lineage":["https://openalex.org/I141450709"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiacun Wang","raw_affiliation_strings":["Monmouth University,Department of Computer Science and Software Engineering,West Long Branch,NJ,USA","Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monmouth University,Department of Computer Science and Software Engineering,West Long Branch,NJ,USA","institution_ids":["https://openalex.org/I141450709"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA","institution_ids":["https://openalex.org/I141450709"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.09049809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.987500011920929,"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":0.987500011920929,"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/T13579","display_name":"Image and Video Stabilization","score":0.987500011920929,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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-vision","display_name":"Computer vision","score":0.7736668586730957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7535389065742493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.622548520565033},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5394057035446167},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.5129272937774658},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5124004483222961},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4965534806251526},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4589778482913971},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4530562460422516},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43698710203170776},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34875908493995667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32900485396385193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09970080852508545}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7736668586730957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7535389065742493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622548520565033},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5394057035446167},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.5129272937774658},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5124004483222961},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4965534806251526},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4589778482913971},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4530562460422516},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43698710203170776},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34875908493995667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32900485396385193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09970080852508545},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichms59971.2024.10555816","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ichms59971.2024.10555816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2605847739","https://openalex.org/W2903434285","https://openalex.org/W2931526455","https://openalex.org/W2978814280","https://openalex.org/W2997293458","https://openalex.org/W3086026735","https://openalex.org/W3094288436","https://openalex.org/W3107328188","https://openalex.org/W3107892667","https://openalex.org/W3115742705","https://openalex.org/W3125899032","https://openalex.org/W3137007432","https://openalex.org/W4205286934","https://openalex.org/W4309224972","https://openalex.org/W4312400690","https://openalex.org/W4312602425","https://openalex.org/W4312857024","https://openalex.org/W4385338745","https://openalex.org/W4390284838"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"To":[0,131],"address":[1],"the":[2,51,57,64,70,78,82,91,97,102,114,119,129,133,136],"issue":[3],"of":[4,53,66,128,135,144,151],"sensitivity":[5],"to":[6,45,62,86],"external":[7],"interference":[8],"and":[9,16,40,48,81,113,126,153],"noise":[10,41],"in":[11,50,90,149],"traditional":[12],"moving":[13,54,88],"object":[14],"recognition":[15,125],"tracking":[17,127],"algorithms,":[18],"this":[19],"paper":[20],"proposes":[21],"a":[22],"novel":[23],"algorithm":[24,59,104],"that":[25],"combines":[26],"Image":[27],"Fusion-based":[28],"Frame":[29],"Difference":[30],"(IFD)":[31],"with":[32,69],"Differential":[33],"Translation":[34],"Transformation":[35],"(DTT).":[36],"Firstly,":[37],"image":[38,146],"enhancement":[39],"reduction":[42],"are":[43,84,139],"applied":[44],"adjust":[46,63],"contrast":[47],"brightness":[49],"images":[52],"objects.":[55],"Subsequently,":[56],"IFD":[58,103],"is":[60,94],"employed":[61],"blending":[65],"new":[67],"frame":[68,80],"background,":[71],"smoothly":[72],"fusing":[73],"them.":[74],"Pixel":[75],"differences":[76,109],"between":[77,96,110],"fusion":[79],"background":[83],"calculated":[85],"identify":[87],"objects":[89],"image.":[92],"Matching":[93],"performed":[95],"target":[98,115],"areas":[99],"obtained":[100,117],"by":[101,118],"based":[105],"on":[106,141],"pixel":[107],"displacement":[108],"consecutive":[111],"frames":[112],"displacements":[116],"DTT":[120],"algorithm.":[121],"This":[122],"allows":[123],"for":[124],"targets.":[130],"validate":[132],"effectiveness":[134],"algorithm,":[137],"experiments":[138],"conducted":[140],"two":[142],"sets":[143],"moving-object":[145],"data,":[147],"resulting":[148],"accuracies":[150],"90.12%":[152],"90.87%.":[154]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
