{"id":"https://openalex.org/W4414064824","doi":"https://doi.org/10.3103/s0146411625700543","title":"Design of Real Time Target Tracking Method for Film and Television Video Based on Deep Learning under Visual Communication","display_name":"Design of Real Time Target Tracking Method for Film and Television Video Based on Deep Learning under Visual Communication","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4414064824","doi":"https://doi.org/10.3103/s0146411625700543"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411625700543","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625700543","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5101947631","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0003-0665-4956"},"institutions":[{"id":"https://openalex.org/I105991555","display_name":"Jingdezhen Ceramic Institute","ror":"https://ror.org/01d0jcz74","country_code":"CN","type":"education","lineage":["https://openalex.org/I105991555"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["School of Design and Art, Jingdezhen Ceramic University, 333403, Jingdezhen, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Design and Art, Jingdezhen Ceramic University, 333403, Jingdezhen, Jiangxi, China","institution_ids":["https://openalex.org/I105991555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101947631"],"corresponding_institution_ids":["https://openalex.org/I105991555"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20355412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"3","first_page":"376","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.9757000207901001,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/tracking","display_name":"Tracking (education)","score":0.7867000102996826},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6037999987602234},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5954999923706055},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.48570001125335693},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47929999232292175},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4196000099182129},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3856000006198883},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.37709999084472656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8730999827384949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7957000136375427},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7867000102996826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7576000094413757},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6037999987602234},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5954999923706055},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48570001125335693},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47929999232292175},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4196000099182129},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.2529999911785126},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411625700543","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625700543","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2903899936","https://openalex.org/W2974274032","https://openalex.org/W3011276220","https://openalex.org/W3035470676","https://openalex.org/W3038750232","https://openalex.org/W3109128137","https://openalex.org/W3113189905","https://openalex.org/W3136731876","https://openalex.org/W3138538855","https://openalex.org/W3159824803","https://openalex.org/W3178275447","https://openalex.org/W3209050294","https://openalex.org/W4200573409","https://openalex.org/W4220723084","https://openalex.org/W4225643514","https://openalex.org/W4280567524","https://openalex.org/W4294691760","https://openalex.org/W4308146710","https://openalex.org/W4315782329","https://openalex.org/W4322630896"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Abstract":[0],"Video":[1],"target":[2,25,30,46,74,91,126,182,192,201],"tracking":[3,26,57,68,75,92,151,160,183,206],"has":[4,158,197],"gained":[5],"a":[6,66,189],"lot":[7],"of":[8,17,43,55,58,116,138,153],"interest":[9],"and":[10,20,33,47,53,85,114,180,196],"applications":[11],"due":[12],"to":[13,39,48,72,130,141],"the":[14,44,50,86,90,99,110,117,139,144,150,154,163,169],"quick":[15],"development":[16],"computer":[18],"vision":[19],"artificial":[21],"intelligence.":[22],"Adaptive":[23],"modified":[24],"approach":[27],"based":[28],"on":[29],"prediction":[31],"algorithm":[32,69],"deep":[34],"reinforcement":[35],"learning":[36],"is":[37,70,94,106,147,172,177,186],"researched":[38],"realize":[40,73],"exact":[41],"positioning":[42],"occluded":[45],"increase":[49],"efficiency,":[51],"precision,":[52],"accuracy":[54,152,161],"real-time":[56],"video":[59,195],"targets.":[60],"And":[61],"combined":[62],"with":[63,109,162,165],"secondary":[64],"correlation,":[65],"multitarget":[67],"proposed":[71,155],"accuracy.":[76],"The":[77,125],"validation":[78],"experiments":[79],"are":[80],"conducted":[81],"in":[82,136,194,204],"this":[83],"research,":[84],"findings":[87],"indicate":[88],"that":[89,149],"effect":[93],"at":[95],"its":[96],"greatest":[97],"when":[98],"weight":[100],"adjustment":[101],"coefficient":[102],"(p":[103],"=":[104],"0.061)":[105],"attained,":[107],"along":[108],"peak":[111],"area":[112],"ratio":[113],"similarity":[115],"correlation":[118],"filtering":[119],"response":[120],"reaching":[121],"their":[122],"ideal":[123],"advantage.":[124],"frame":[127],"only":[128],"needs":[129],"move":[131],"less":[132],"than":[133],"5":[134],"movements":[135],"most":[137],"images":[140],"successfully":[142],"capture":[143],"target.":[145],"It":[146,185],"found":[148],"research":[156,203],"method":[157],"comparable":[159],"MDNet":[164],"optimal":[166],"performance,":[167],"while":[168],"processing":[170],"efficiency":[171],"improved":[173],"by":[174],"80%,":[175],"which":[176],"an":[178],"accurate":[179],"efficient":[181],"method.":[184],"useful":[187],"as":[188],"reference":[190],"for":[191,200],"recognition":[193],"some":[198],"relevance":[199],"localisation":[202],"subsequent":[205],"systems.":[207]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
