{"id":"https://openalex.org/W2992925069","doi":"https://doi.org/10.1109/ispacs.2018.8923487","title":"Specific Object Recognition and Tracking by Cascade Connection of Different Types of CNNs and a Time-series Filter","display_name":"Specific Object Recognition and Tracking by Cascade Connection of Different Types of CNNs and a Time-series Filter","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2992925069","doi":"https://doi.org/10.1109/ispacs.2018.8923487","mag":"2992925069"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2018.8923487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5061400723","display_name":"Takaki Nishio","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takaki Nishio","raw_affiliation_strings":["Department of Mechanical and Control Engineering, Kyushu Institute of Technology, 1-1 Sensui, Kitakyushu, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Control Engineering, Kyushu Institute of Technology, 1-1 Sensui, Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111997815","display_name":"Takeshi Nishida","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Nishida","raw_affiliation_strings":["Department of Mechanical and Control Engineering, Kyushu Institute of Technology, 1-1 Sensui, Kitakyushu, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Control Engineering, Kyushu Institute of Technology, 1-1 Sensui, Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061400723"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24533367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.995199978351593,"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":0.995199978351593,"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/T13579","display_name":"Image and Video Stabilization","score":0.9943000078201294,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.822975754737854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.759765625},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6694045066833496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6486456394195557},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6382180452346802},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.550621747970581},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5298991799354553},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5217012763023376},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4541589021682739},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4528367221355438},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4381042718887329},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.43624651432037354},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.42079228162765503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05888330936431885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822975754737854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.759765625},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6694045066833496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6486456394195557},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6382180452346802},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.550621747970581},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5298991799354553},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5217012763023376},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4541589021682739},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4528367221355438},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4381042718887329},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.43624651432037354},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.42079228162765503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05888330936431885},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2018.8923487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W818325216","https://openalex.org/W1861492603","https://openalex.org/W2124211486","https://openalex.org/W2125215748","https://openalex.org/W2165737454","https://openalex.org/W2613718673","https://openalex.org/W2806070179","https://openalex.org/W2964253307","https://openalex.org/W3047986474","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6623108133","https://openalex.org/W6703518758"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W1566155057","https://openalex.org/W2052574922","https://openalex.org/W2065045110","https://openalex.org/W2969228573","https://openalex.org/W2965594636","https://openalex.org/W4387272257","https://openalex.org/W2912550626"],"abstract_inverted_index":{"Currently,":[0],"convolutional":[1],"neural":[2],"networks":[3],"(CNN)":[4],"are":[5],"widely":[6],"used":[7,84],"for":[8,74],"object":[9,34,76],"recognition,":[10],"and":[11,42,104],"it":[12],"is":[13,35,67,83],"common":[14],"to":[15,30,49,69,85],"use":[16,101],"an":[17],"already":[18],"trained":[19],"network":[20],"as":[21],"a":[22,32,51,63,80],"basis.":[23],"However,":[24],"the":[25,56,59,71,87,90,94,97,106],"retraining":[26],"cost":[27],"of":[28,39,58,89,96,108],"CNN":[29,53,73],"recognize":[31],"specific":[33,75,109],"high":[36],"in":[37,55],"terms":[38],"dataset":[40,64],"preparation":[41],"calculation":[43],"cost.":[44],"Thus,":[45],"we":[46,100],"propose":[47],"instead":[48],"add":[50],"second":[52,72],"specialized":[54],"recognition":[57],"desired":[60],"target.":[61,91],"Further,":[62],"pre-filtering":[65],"method":[66],"proposed":[68,98],"train":[70],"shape":[77,111],"recognition.":[78,112],"Additionally,":[79],"time-series":[81],"filter":[82],"stabilize":[86],"detection":[88],"To":[92],"confirm":[93],"effectiveness":[95],"method,":[99],"recorded":[102],"videos":[103],"evaluate":[105],"accuracy":[107],"carrot":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}