{"id":"https://openalex.org/W2964393461","doi":"https://doi.org/10.1109/avss.2019.8909853","title":"What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks","display_name":"What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2964393461","doi":"https://doi.org/10.1109/avss.2019.8909853","mag":"2964393461"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/1908.03055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036083843","display_name":"Thomas Golda","orcid":"https://orcid.org/0000-0003-3968-2806"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thomas Golda","raw_affiliation_strings":["Fraunhofer Center for Machine Learning","Fraunhofer Center for Machine Learning,,,,,"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Center for Machine Learning","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Center for Machine Learning,,,,,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062137122","display_name":"Nils Murzyn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nils Murzyn","raw_affiliation_strings":["Fraunhofer Center for Machine Learning","Fraunhofer Center for Machine Learning,,,,,"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Center for Machine Learning","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Center for Machine Learning,,,,,","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027269321","display_name":"Chengchao Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengchao Qu","raw_affiliation_strings":["Fraunhofer Center for Machine Learning","Fraunhofer Center for Machine Learning,,,,,"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Center for Machine Learning","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Center for Machine Learning,,,,,","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091747480","display_name":"Kristian Kroschel","orcid":null},"institutions":[{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer Society","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"funder","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristian Kroschel","raw_affiliation_strings":["Fraunhofer Center for Machine Learning","Fraunhofer Society"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Center for Machine Learning","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Society","institution_ids":["https://openalex.org/I4923324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036083843"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07998177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9926000237464905,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.989300012588501,"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/anomaly-detection","display_name":"Anomaly detection","score":0.9119864702224731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7493794560432434},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6715643405914307},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6565950512886047},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6436519622802734},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6406015753746033},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.622717022895813},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6133356094360352},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5965391993522644},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5517310500144958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5002381801605225},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.48968151211738586},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4874756336212158},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3965238332748413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3670504689216614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32883352041244507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2753157615661621},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10460451245307922},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07266607880592346}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.9119864702224731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493794560432434},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6715643405914307},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6565950512886047},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6436519622802734},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6406015753746033},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.622717022895813},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6133356094360352},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5965391993522644},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5517310500144958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5002381801605225},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.48968151211738586},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4874756336212158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3965238332748413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3670504689216614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32883352041244507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2753157615661621},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10460451245307922},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07266607880592346},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/avss.2019.8909853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1908.03055","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.03055","pdf_url":"https://arxiv.org/pdf/1908.03055","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:fraunhofer.de:N-582899","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-582899.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/407317","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/407317","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"},{"id":"doi:10.48550/arxiv.1908.03055","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.03055","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"},{"id":"doi:10.24406/publica-r-407317","is_oa":true,"landing_page_url":"https://doi.org/10.24406/publica-r-407317","pdf_url":null,"source":{"id":"https://openalex.org/S7407052912","display_name":"Fraunhofer-Gesellschaft zur F\u00f6rderung der angewandten Forschung e.V","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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-journal"},{"id":"mag:2964393461","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.03055","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.03055","pdf_url":"https://arxiv.org/pdf/1908.03055","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1755205674","https://openalex.org/W1867429401","https://openalex.org/W2099471712","https://openalex.org/W2122361470","https://openalex.org/W2163605009","https://openalex.org/W2326211297","https://openalex.org/W2341058432","https://openalex.org/W2540481276","https://openalex.org/W2559927751","https://openalex.org/W2560474170","https://openalex.org/W2593414223","https://openalex.org/W2951015184","https://openalex.org/W2962793481","https://openalex.org/W2962835968","https://openalex.org/W2963073614","https://openalex.org/W2963125871","https://openalex.org/W2963610939","https://openalex.org/W2964032056","https://openalex.org/W2964121744","https://openalex.org/W2964232409","https://openalex.org/W2964331599","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6691096134","https://openalex.org/W6730548322","https://openalex.org/W6739645556"],"related_works":["https://openalex.org/W2991021943","https://openalex.org/W2746873023","https://openalex.org/W1553632329","https://openalex.org/W2801326158","https://openalex.org/W3170104927","https://openalex.org/W3090228265","https://openalex.org/W849428693","https://openalex.org/W3118434465","https://openalex.org/W3165496832","https://openalex.org/W3091235251","https://openalex.org/W3164976338","https://openalex.org/W3122380385","https://openalex.org/W3015096508","https://openalex.org/W2910539749","https://openalex.org/W2905301206","https://openalex.org/W2963536498","https://openalex.org/W3126314169","https://openalex.org/W3192880336","https://openalex.org/W2332357839","https://openalex.org/W3093334807"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,55,150],"plays":[2],"in":[3],"many":[4],"fields":[5],"of":[6,14,25,29,40,66,73,77,102,110,116,126],"research,":[7],"along":[8],"with":[9],"the":[10,23,26,64,78,85,100,108,124,144,148],"strongly":[11],"related":[12,56],"task":[13],"outlier":[15],"detection,":[16],"a":[17],"very":[18,41],"important":[19],"role.":[20],"Especially":[21],"within":[22],"context":[24],"automated":[27],"analysis":[28],"video":[30],"material":[31],"recorded":[32],"by":[33,156],"surveillance":[34,58],"cameras,":[35],"abnormal":[36],"situations":[37],"can":[38],"be":[39],"different":[42,114],"nature.":[43],"For":[44],"this":[45,47,71,93],"purpose":[46],"work":[48],"investigates":[49],"Generative-Adversarial-Network-based":[50],"methods":[51,106,155],"(GAN)":[52],"for":[53,107,121,129,152],"anomaly":[54,149],"to":[57,84,91,139],"applications.":[59],"The":[60],"focus":[61],"is":[62,75],"on":[63],"usage":[65],"static":[67],"camera":[68,74],"setups,":[69],"since":[70],"kind":[72],"one":[76],"most":[79],"often":[80],"used":[81],"and":[82,119,123],"belongs":[83],"lower":[86],"price":[87],"segment.":[88],"In":[89],"order":[90],"address":[92],"task,":[94],"multiple":[95],"subtasks":[96],"are":[97],"evaluated,":[98],"including":[99],"influence":[101],"existing":[103],"optical":[104],"flow":[105],"incorporation":[109],"short-term":[111],"temporal":[112],"information,":[113],"forms":[115],"network":[117],"setups":[118],"losses":[120],"GANs,":[122],"use":[125],"morphological":[127],"operations":[128],"further":[130],"performance":[131],"improvement.":[132],"With":[133],"these":[134],"extension":[135],"we":[136],"achieved":[137],"up":[138],"2.4%":[140],"better":[141],"results.":[142],"Furthermore,":[143],"final":[145],"method":[146],"reduced":[147],"error":[151],"GAN":[153],"based":[154],"about":[157],"42.8%.":[158]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
