{"id":"https://openalex.org/W3037734966","doi":"https://doi.org/10.1109/icpr48806.2021.9413031","title":"AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features","display_name":"AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3037734966","doi":"https://doi.org/10.1109/icpr48806.2021.9413031","mag":"3037734966"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2006.15457","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026780916","display_name":"Maximilian Kraus","orcid":"https://orcid.org/0009-0004-1998-5871"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Kraus","raw_affiliation_strings":["Technical University of Munich, Munich, Germany","Technical University of Munich Department of Informatics Munich Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich Department of Informatics Munich Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006333653","display_name":"Seyed Majid Azimi","orcid":"https://orcid.org/0000-0002-6084-2272"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Seyed Majid Azimi","raw_affiliation_strings":["Technical University of Munich, Munich, Germany","Technical University of Munich,Department of Aerospace, Aeronautics and Geodesy,Munich,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich,Department of Aerospace, Aeronautics and Geodesy,Munich,Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025522331","display_name":"Eme\u00e7 Er\u00e7elik","orcid":"https://orcid.org/0000-0002-0716-0475"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Emec Ercelik","raw_affiliation_strings":["Technical University of Munich, Munich, Germany","Technical University of Munich Department of Informatics Munich Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich Department of Informatics Munich Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059642844","display_name":"Reza Bahmanyar","orcid":"https://orcid.org/0000-0002-6999-714X"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reza Bahmanyar","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany",", Remote Sensing Technology Institute, German Aerospace Center DLR, Wessling, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":", Remote Sensing Technology Institute, German Aerospace Center DLR, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052386553","display_name":"Peter Reinartz","orcid":"https://orcid.org/0000-0002-8122-1475"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Reinartz","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany",", Remote Sensing Technology Institute, German Aerospace Center DLR, Wessling, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":", Remote Sensing Technology Institute, German Aerospace Center DLR, Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Technical University of Munich, Munich, Germany","Technical University of Munich Department of Informatics Munich Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich Department of Informatics Munich Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.097,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34081708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2454","last_page":"2461"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9977999925613403,"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":0.7505593299865723},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7416812777519226},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7387428879737854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6588881015777588},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6574501395225525},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6315348148345947},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.6043825149536133},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5532016754150391},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5325008630752563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48325425386428833},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46040451526641846},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4534365236759186},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20433399081230164},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.14071795344352722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505593299865723},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7416812777519226},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7387428879737854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588881015777588},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6574501395225525},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6315348148345947},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.6043825149536133},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5532016754150391},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5325008630752563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48325425386428833},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46040451526641846},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4534365236759186},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20433399081230164},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.14071795344352722},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.15457","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.15457","pdf_url":"https://arxiv.org/pdf/2006.15457","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:elib.dlr.de:136057","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ICPR48806.2021.9413031>.","pdf_url":"https://elib.dlr.de/136057/1/aerialmpt_2020.pdf","source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"mag:3037734966","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2006.15457.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2006.15457","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.15457","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2006.15457","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.15457","pdf_url":"https://arxiv.org/pdf/2006.15457","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W9513853","https://openalex.org/W165087766","https://openalex.org/W1491152520","https://openalex.org/W1550439380","https://openalex.org/W1594676769","https://openalex.org/W1964846093","https://openalex.org/W2044828101","https://openalex.org/W2064094295","https://openalex.org/W2064675550","https://openalex.org/W2141883702","https://openalex.org/W2154889144","https://openalex.org/W2165737454","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2211629196","https://openalex.org/W2225887246","https://openalex.org/W2280226538","https://openalex.org/W2291627510","https://openalex.org/W2424778531","https://openalex.org/W2558899534","https://openalex.org/W2601567076","https://openalex.org/W2603203130","https://openalex.org/W2605381261","https://openalex.org/W2613718673","https://openalex.org/W2886285682","https://openalex.org/W2920942303","https://openalex.org/W2963063317","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W2975467257","https://openalex.org/W2980620344","https://openalex.org/W2981393651","https://openalex.org/W2990187711","https://openalex.org/W6620707391","https://openalex.org/W6632877893","https://openalex.org/W6696672603","https://openalex.org/W6703518758","https://openalex.org/W6703780166","https://openalex.org/W6736018854","https://openalex.org/W6767839269"],"related_works":["https://openalex.org/W3162565501","https://openalex.org/W3126885275","https://openalex.org/W2980620344","https://openalex.org/W3109445841","https://openalex.org/W2999973568","https://openalex.org/W2765908332","https://openalex.org/W3182430373","https://openalex.org/W3003805310","https://openalex.org/W2897097047","https://openalex.org/W2965843888","https://openalex.org/W2962777203","https://openalex.org/W1945811542","https://openalex.org/W1533024232","https://openalex.org/W2920625195","https://openalex.org/W2994494428","https://openalex.org/W2919866421","https://openalex.org/W3005844601","https://openalex.org/W2969641241","https://openalex.org/W2885766935","https://openalex.org/W2741213766"],"abstract_inverted_index":{"Multi-pedestrian":[0],"tracking":[1,94,131,181],"in":[2,95],"aerial":[3,97,129],"imagery":[4,98],"has":[5],"several":[6,179],"applications":[7],"such":[8,29],"as":[9,18,30,50,52],"large-scale":[10],"event":[11],"monitoring,":[12],"disaster":[13],"management,":[14],"search-and-rescue":[15],"missions,":[16],"and":[17,34,55,115,145,156,163,173,176,193],"input":[19],"into":[20],"predictive":[21],"crowd":[22],"dynamic":[23],"models.":[24],"Due":[25],"to":[26,80,123,160],"the":[27,31,35,39,59,74,125,135,154],"challenges":[28],"large":[32],"number":[33],"tiny":[36],"size":[37],"of":[38,58,127,142],"pedestrians":[40,147],"(e.g.,":[41,67],"4":[42,44],"\u00d7":[43],"pixels)":[45],"with":[46,61,178],"their":[47,62],"similar":[48],"appearances":[49],"well":[51],"different":[53],"scales":[54],"atmospheric":[56],"conditions":[57],"images":[60],"extremely":[63],"low":[64],"frame":[65],"rates":[66],"2":[68],"fps),":[69],"current":[70],"state-of-the-art":[71,180],"algorithms":[72],"including":[73],"deep":[75],"learning-based":[76],"ones":[77],"are":[78],"unable":[79],"perform":[81],"well.":[82],"In":[83,121],"this":[84,161],"paper,":[85],"we":[86,133],"propose":[87],"AerialMPTNet,":[88],"a":[89,104,111,119],"novel":[90],"approach":[91],"for":[92],"multi-pedestrian":[93],"geo-referenced":[96],"by":[99],"fusing":[100],"appearance":[101],"features":[102],"from":[103,110,118],"Siamese":[105],"Neural":[106],"Network,":[107],"movement":[108],"predictions":[109],"Long":[112],"Short-Term":[113],"Memory,":[114],"pedestrian":[116,130],"interconnections":[117],"GraphCNN.":[120],"addition,":[122],"address":[124],"lack":[126],"diverse":[128,158],"datasets,":[132],"introduce":[134],"Aerial":[136],"Multi-Pedestrian":[137],"Tracking":[138],"(AerialMPT)":[139],"dataset":[140,159],"consisting":[141],"307":[143],"frames":[144],"44,740":[146],"annotated.":[148],"We":[149,168],"believe":[150],"that":[151,185],"AerialMPT":[152,172],"is":[153],"largest":[155],"most":[157],"date":[162],"will":[164],"be":[165],"released":[166],"publicly.":[167],"evaluate":[169],"AerialMPTNet":[170,186],"on":[171,191],"KIT":[174],"AIS,":[175],"benchmark":[177],"methods.":[182],"Results":[183],"indicate":[184],"significantly":[187],"outperforms":[188],"other":[189],"methods":[190],"accuracy":[192],"time-efficiency.":[194]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}