{"id":"https://openalex.org/W2705992957","doi":"https://doi.org/10.1109/icassp.2017.7953036","title":"Local detection and estimation of multiple objects from images with overlapping observation areas","display_name":"Local detection and estimation of multiple objects from images with overlapping observation areas","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2705992957","doi":"https://doi.org/10.1109/icassp.2017.7953036","mag":"2705992957"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953036","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 Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5007001665","display_name":"Rene Repp","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Rene Repp","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050384689","display_name":"G\u00fcnther Koliander","orcid":"https://orcid.org/0000-0002-4750-3305"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gunther Koliander","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077882926","display_name":"Florian Meyer","orcid":"https://orcid.org/0000-0001-6985-2250"},"institutions":[{"id":"https://openalex.org/I1342391420","display_name":"NATO Centre for Maritime Research and Experimentation","ror":"https://ror.org/049z8cx69","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1342391420","https://openalex.org/I4210123720","https://openalex.org/I4210162703"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Florian Meyer","raw_affiliation_strings":["Centre for Maritime Research and Experimentation, La Spezia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Maritime Research and Experimentation, La Spezia, Italy","institution_ids":["https://openalex.org/I1342391420"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036535440","display_name":"Franz Hlawatsch","orcid":"https://orcid.org/0000-0001-9010-9285"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Franz Hlawatsch","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2619,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95637329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"4641","last_page":"4645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6381967067718506},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5931103825569153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5880258083343506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5848705172538757},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42494791746139526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3953651189804077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06988078355789185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381967067718506},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5931103825569153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5880258083343506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5848705172538757},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42494791746139526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3953651189804077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06988078355789185},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953036","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 Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W652333456","https://openalex.org/W1557595030","https://openalex.org/W1828555873","https://openalex.org/W1971008109","https://openalex.org/W2014787937","https://openalex.org/W2066015174","https://openalex.org/W2067341428","https://openalex.org/W2113127660","https://openalex.org/W2118944048","https://openalex.org/W2123378338","https://openalex.org/W2126302311","https://openalex.org/W2133780029","https://openalex.org/W2137585588","https://openalex.org/W2139137304","https://openalex.org/W2142300547","https://openalex.org/W2146881125","https://openalex.org/W2150829213","https://openalex.org/W2153016480","https://openalex.org/W2161435744","https://openalex.org/W2491179239","https://openalex.org/W3107934168","https://openalex.org/W6633511732"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","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","https://openalex.org/W2775347418"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,45,59],"method":[3,41],"for":[4],"detecting":[5],"and":[6,35,57,69],"estimating":[7],"multiple":[8,11],"objects":[9,25],"from":[10],"noisy":[12],"images":[13],"with":[14],"partly":[15],"overlapping":[16,79],"observation":[17,33,80],"areas.":[18,81],"The":[19],"goal":[20],"is":[21,42],"to":[22,36],"detect":[23],"the":[24,31,50,78],"that":[26,72],"are":[27],"\u201clocally\u201d":[28],"present":[29],"in":[30],"individual":[32],"areas":[34],"estimate":[37],"their":[38],"states.":[39],"Our":[40],"based":[43],"on":[44],"new":[46],"closed-form":[47],"expression":[48],"of":[49,77],"marginal":[51],"posterior":[52],"probability":[53],"hypothesis":[54],"density":[55],"(PHD)":[56],"admits":[58],"distributed":[60],"implementation.":[61],"Simulation":[62],"results":[63],"demonstrate":[64],"performance":[65],"gains":[66],"over":[67],"correlation-based":[68],"PHD-based":[70],"methods":[71],"do":[73],"not":[74],"take":[75],"advantage":[76]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}