{"id":"https://openalex.org/W2756109815","doi":"https://doi.org/10.1109/icip.2017.8297104","title":"A consistent two-level metric for evaluation of automated abandoned object detection methods","display_name":"A consistent two-level metric for evaluation of automated abandoned object detection methods","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2756109815","doi":"https://doi.org/10.1109/icip.2017.8297104","mag":"2756109815"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5033791005","display_name":"Patrick Krusch","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Krusch","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Communication Systems Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Group","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020878973","display_name":"Erik Bochinski","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erik Bochinski","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Communication Systems Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Group","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046362676","display_name":"Volker Eiselein","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Eiselein","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Communication Systems Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Group","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113970295","display_name":"Thomas Sikora","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Sikora","raw_affiliation_strings":["Technische Universit\u00e4t Berlin, Communication Systems Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Communication Systems Group","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4352","last_page":"4356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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":0.9868999719619751,"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/metric","display_name":"Metric (unit)","score":0.8689586520195007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7686583995819092},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6347854137420654},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5849103927612305},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5256468057632446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47786349058151245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4529295861721039},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.4123344123363495},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3938937783241272},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22518643736839294},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.17516794800758362}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8689586520195007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686583995819092},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6347854137420654},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5849103927612305},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5256468057632446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47786349058151245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4529295861721039},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.4123344123363495},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3938937783241272},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22518643736839294},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.17516794800758362},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1561771295","https://openalex.org/W1992925827","https://openalex.org/W2012135689","https://openalex.org/W2054883883","https://openalex.org/W2081947144","https://openalex.org/W2088228880","https://openalex.org/W2102625004","https://openalex.org/W2161079788","https://openalex.org/W2167613050","https://openalex.org/W2168356304","https://openalex.org/W2289029235","https://openalex.org/W2309375352","https://openalex.org/W2532966513","https://openalex.org/W2548029452","https://openalex.org/W6670428707"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2898210368","https://openalex.org/W2382480268","https://openalex.org/W2959160600","https://openalex.org/W2443844466","https://openalex.org/W1974312944","https://openalex.org/W1976518449","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Scientific":[0],"interest":[1],"in":[2,20,83],"automated":[3],"abandoned":[4,45,92],"object":[5,34,93],"detection":[6,94],"algorithms":[7],"using":[8],"visual":[9],"information":[10],"is":[11,59,69],"high":[12],"and":[13,37,47,76],"many":[14],"related":[15],"systems":[16],"have":[17],"been":[18],"published":[19],"recent":[21],"years.":[22],"However,":[23],"most":[24],"evaluation":[25,31,50,66,78],"techniques":[26],"rely":[27],"only":[28,43],"on":[29,32,71,104],"statistical":[30],"the":[33,98,101],"level.":[35],"Therefore":[36],"due":[38],"to":[39],"benchmarks":[40],"with":[41],"commonly":[42],"few":[44],"objects":[46],"a":[48,64],"non-standardized":[49],"procedure,":[51],"an":[52,72,77,91],"objective":[53],"performance":[54,85],"comparison":[55],"between":[56],"different":[57],"methods":[58],"generally":[60],"hard.":[61],"We":[62],"propose":[63],"new":[65],"metric":[67,103],"which":[68,80],"focused":[70],"end-user":[73],"application":[74],"case":[75],"protocol":[79],"eliminates":[81],"uncertainties":[82],"previous":[84],"assessments.":[86],"Using":[87],"two":[88],"variants":[89],"of":[90,100],"method,":[95],"we":[96],"show":[97],"features":[99],"novel":[102],"multiple":[105],"datasets":[106],"proving":[107],"its":[108],"advantages":[109],"over":[110],"previously":[111],"used":[112],"measures.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}