{"id":"https://openalex.org/W4410341185","doi":"https://doi.org/10.1109/icnc64010.2025.10993978","title":"Enhancing Traffic Video Data Collection from Compromised Views with Adaptive Segmentation","display_name":"Enhancing Traffic Video Data Collection from Compromised Views with Adaptive Segmentation","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4410341185","doi":"https://doi.org/10.1109/icnc64010.2025.10993978"},"language":"en","primary_location":{"id":"doi:10.1109/icnc64010.2025.10993978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc64010.2025.10993978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Computing, Networking and Communications (ICNC)","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/A5052889812","display_name":"Suman Kumar","orcid":"https://orcid.org/0009-0009-9987-7702"},"institutions":[{"id":"https://openalex.org/I149292303","display_name":"Troy University","ror":"https://ror.org/029jj9438","country_code":"US","type":"education","lineage":["https://openalex.org/I149292303"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suman Kumar","raw_affiliation_strings":["Troy University,Department of Computer Science,Troy,AL,USA,36082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Troy University,Department of Computer Science,Troy,AL,USA,36082","institution_ids":["https://openalex.org/I149292303"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tyler McKinley","orcid":null},"institutions":[{"id":"https://openalex.org/I149292303","display_name":"Troy University","ror":"https://ror.org/029jj9438","country_code":"US","type":"education","lineage":["https://openalex.org/I149292303"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler McKinley","raw_affiliation_strings":["Troy University,Department of Computer Science,Troy,AL,USA,36082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Troy University,Department of Computer Science,Troy,AL,USA,36082","institution_ids":["https://openalex.org/I149292303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117535042","display_name":"Bhimashankar Malbhage","orcid":null},"institutions":[{"id":"https://openalex.org/I149292303","display_name":"Troy University","ror":"https://ror.org/029jj9438","country_code":"US","type":"education","lineage":["https://openalex.org/I149292303"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhimashankar Malbhage","raw_affiliation_strings":["Troy University,Department of Computer Science,Troy,AL,USA,36082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Troy University,Department of Computer Science,Troy,AL,USA,36082","institution_ids":["https://openalex.org/I149292303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149292303"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08888321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9778000116348267,"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":0.9778000116348267,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9678999781608582,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9624999761581421,"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":0.7670780420303345},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5636087656021118},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5112404823303223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44357171654701233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3902200758457184},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3550482392311096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7670780420303345},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5636087656021118},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5112404823303223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44357171654701233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3902200758457184},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3550482392311096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc64010.2025.10993978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc64010.2025.10993978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Computing, Networking and Communications (ICNC)","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":20,"referenced_works":["https://openalex.org/W2103018059","https://openalex.org/W2736404054","https://openalex.org/W2748449184","https://openalex.org/W2765957758","https://openalex.org/W2789071563","https://openalex.org/W2937915368","https://openalex.org/W3004370189","https://openalex.org/W3018244678","https://openalex.org/W3035719652","https://openalex.org/W3038886336","https://openalex.org/W3042710080","https://openalex.org/W3097620482","https://openalex.org/W3132455321","https://openalex.org/W3135096391","https://openalex.org/W3165938138","https://openalex.org/W3174098199","https://openalex.org/W4377971464","https://openalex.org/W4382468166","https://openalex.org/W4390662480","https://openalex.org/W6853702739"],"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":{"The":[0,99,137],"compilation":[1],"of":[2,19,68,81,101,145],"high-quality":[3,66],"traffic":[4,10,113],"data":[5,60,108],"is":[6,115],"crucial":[7],"for":[8,73],"real-time":[9],"video":[11,124],"surveillance,":[12],"significantly":[13,140],"impacting":[14],"the":[15,27,77,102,120,123,142],"accuracy":[16,78],"and":[17,37,46,59,79,91,110],"reliability":[18],"Intelligent":[20],"Transportation":[21],"Systems":[22],"(ITS).":[23],"This":[24],"paper":[25],"addresses":[26],"challenges":[28],"posed":[29],"by":[30,117],"environmental":[31],"factors":[32],"such":[33],"as":[34],"dirt,":[35],"dust,":[36],"obstructions":[38],"on":[39,96],"camera":[40,69],"lenses,":[41],"which":[42],"degrade":[43],"image":[44],"quality":[45],"subsequently":[47],"affect":[48],"machine":[49],"learning":[50],"model":[51],"performance.":[52],"We":[53],"propose":[54],"a":[55],"robust":[56],"view":[57,125],"segmentation":[58],"collection":[61],"method":[62,104],"that":[63],"ensures":[64],"only":[65],"segments":[67],"views":[70],"are":[71],"utilized":[72],"analysis,":[74],"thereby":[75],"improving":[76],"efficiency":[80],"ITS.":[82,150],"Our":[83],"scheme":[84],"dynamically":[85],"divides":[86,122],"road":[87],"frames":[88],"into":[89,126],"sectors":[90,94,128],"merges":[92],"adjacent":[93],"based":[95],"their":[97],"similarity.":[98],"effectiveness":[100],"proposed":[103,138],"in":[105,149],"maintaining":[106],"high":[107],"integrity":[109],"ensuring":[111],"reliable":[112],"analysis":[114],"demonstrated":[116],"showing":[118],"how":[119],"algorithm":[121,134],"appropriate":[127],"under":[129],"various":[130],"conditions,":[131],"considering":[132],"different":[133],"parameter":[135],"values.":[136],"approach":[139],"enhances":[141],"overall":[143],"performance":[144],"computer":[146],"vision":[147],"systems":[148]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}