{"id":"https://openalex.org/W2149231808","doi":"https://doi.org/10.1109/icip.2007.4379286","title":"A Comparison of Different Approaches to Nonlinear Shift Estimation for Object Tracking","display_name":"A Comparison of Different Approaches to Nonlinear Shift Estimation for Object Tracking","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2149231808","doi":"https://doi.org/10.1109/icip.2007.4379286","mag":"2149231808"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5047470258","display_name":"M. Asadi","orcid":"https://orcid.org/0000-0002-1818-339X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Asadi","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055281228","display_name":"Carlo S. Regazzoni","orcid":"https://orcid.org/0000-0001-6617-1417"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C.S. Regazzoni","raw_affiliation_strings":["Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biophysical and Electronic Engineering, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3162,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83189266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"III ","last_page":" 221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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-vision","display_name":"Computer vision","score":0.7602277994155884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7058119773864746},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6893386840820312},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6413587331771851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6303934454917908},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6101463437080383},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5976858735084534},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5562435388565063},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5410887002944946},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5167405009269714},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4999997615814209},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.47269466519355774},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.43976402282714844},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.4208696782588959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3099100589752197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28677764534950256},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2611253261566162},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08704450726509094}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7602277994155884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7058119773864746},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6893386840820312},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6413587331771851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303934454917908},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6101463437080383},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5976858735084534},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5562435388565063},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5410887002944946},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5167405009269714},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4999997615814209},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.47269466519355774},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.43976402282714844},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.4208696782588959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3099100589752197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28677764534950256},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2611253261566162},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08704450726509094},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2007.4379286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.396.6117","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.6117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isip40.it/resources/carlo/B26.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unige.it:11567/237591","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/237591","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W2095905764","https://openalex.org/W2099046646","https://openalex.org/W2123011731","https://openalex.org/W2140677395","https://openalex.org/W2148130418","https://openalex.org/W2167789303"],"related_works":["https://openalex.org/W2367517378","https://openalex.org/W2356334053","https://openalex.org/W1966466573","https://openalex.org/W2120898383","https://openalex.org/W1487824918","https://openalex.org/W2117554142","https://openalex.org/W2383567814","https://openalex.org/W2051656749","https://openalex.org/W297788823","https://openalex.org/W2386156666"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,23,51,85],"corner":[4],"based":[5],"voting":[6,52],"method":[7],"for":[8,62,91],"estimating":[9,92],"the":[10,19,30,37,43,63,75,79,93],"object":[11,31,94],"shift":[12],"in":[13,42],"video":[14],"image":[15],"frames.":[16],"Information":[17],"about":[18],"corners":[20,57],"distribution":[21],"around":[22],"reference":[24,64],"point":[25,65],"is":[26,47,66],"used":[27],"to":[28,35],"represent":[29],"shape":[32],"and":[33],"then":[34],"find":[36],"most":[38],"probable":[39],"target":[40],"position":[41],"next":[44],"frame.":[45],"Tracking":[46],"done":[48],"through":[49],"using":[50,74],"space":[53],"obtained":[54],"by":[55,73],"matching":[56],"information.":[58],"A":[59],"motion":[60],"vector":[61],"nonlinearly":[67],"estimated":[68],"with":[69],"three":[70,88],"different":[71],"strategies":[72,90],"global":[76],"information":[77],"of":[78],"matched":[80],"corners.":[81],"The":[82],"results":[83],"show":[84],"comparison":[86],"between":[87],"considered":[89],"shift.":[95]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
