{"id":"https://openalex.org/W2079551786","doi":"https://doi.org/10.1145/2683483.2683553","title":"Interest Point Detection in Videos Using Long Point Trajectories","display_name":"Interest Point Detection in Videos Using Long Point Trajectories","publication_year":2014,"publication_date":"2014-12-14","ids":{"openalex":"https://openalex.org/W2079551786","doi":"https://doi.org/10.1145/2683483.2683553","mag":"2079551786"},"language":"en","primary_location":{"id":"doi:10.1145/2683483.2683553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","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/A5089324639","display_name":"Rahul Nallamothu","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Nallamothu","raw_affiliation_strings":["Dept of EEE, IIT Guwahati","Dept. of EEE, IIT Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Dept. of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048327145","display_name":"T. Vineeth","orcid":null},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Vineeth","raw_affiliation_strings":["Dept of EEE, IIT Guwahati","Dept. of EEE, IIT Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Dept. of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604805","display_name":"Gaurav Yadav","orcid":"https://orcid.org/0000-0002-9286-8522"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Yadav","raw_affiliation_strings":["Dept of EEE, IIT Guwahati","Dept. of EEE, IIT Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Dept. of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087629613","display_name":"Amit Sethi","orcid":"https://orcid.org/0000-0002-8634-1804"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Sethi","raw_affiliation_strings":["Dept of EEE, IIT Guwahati","Dept. of EEE, IIT Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Dept. of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044945535","display_name":"Tony Jacob","orcid":"https://orcid.org/0000-0003-3180-3212"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tony Jacob","raw_affiliation_strings":["Dept of EEE, IIT Guwahati","Dept. of EEE, IIT Guwahati"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]},{"raw_affiliation_string":"Dept. of EEE, IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.7806882858276367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6721845865249634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6685534119606018},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6315314769744873},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6129899621009827},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5834376811981201},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.539753258228302},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5293933749198914},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5045722723007202},{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.4896441102027893},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44932398200035095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33244839310646057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2526751458644867},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22049829363822937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1824546754360199},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.1713942289352417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1236756443977356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7806882858276367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6721845865249634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6685534119606018},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6315314769744873},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6129899621009827},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5834376811981201},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.539753258228302},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5293933749198914},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5045722723007202},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.4896441102027893},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44932398200035095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33244839310646057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2526751458644867},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22049829363822937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1824546754360199},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.1713942289352417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1236756443977356},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2683483.2683553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2683483.2683553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing","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":12,"referenced_works":["https://openalex.org/W1513753641","https://openalex.org/W1981934656","https://openalex.org/W2020163092","https://openalex.org/W2034328688","https://openalex.org/W2108333036","https://openalex.org/W2131747574","https://openalex.org/W2135414774","https://openalex.org/W2155195832","https://openalex.org/W2533739470","https://openalex.org/W2751023760","https://openalex.org/W2800394774","https://openalex.org/W6634713522"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W4386083130","https://openalex.org/W2795393339","https://openalex.org/W2626393719","https://openalex.org/W4390618967","https://openalex.org/W2074467390","https://openalex.org/W2174745845"],"abstract_inverted_index":{"Interest":[0],"points":[1,6,39,102],"in":[2,40,43,55,81,97,106],"videos":[3,82],"are":[4,104],"spatio-temporal":[5],"within":[7],"a":[8,33,41],"video":[9,17,25,42],"that":[10,103],"can":[11],"be":[12],"used":[13,92],"to":[14,35,57,99],"build":[15],"complex":[16],"processing":[18],"systems":[19],"such":[20],"as":[21],"action":[22],"recognition":[23],"and":[24,47],"retrieval":[26],"systems.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"propose":[32],"method":[34],"localize":[36],"spatial":[37],"interest":[38,62],"the":[44,49,58,74,94,107],"temporal":[45,108],"domain,":[46],"discuss":[48],"results":[50],"obtained":[51,83],"with":[52],"our":[53],"experiments":[54],"comparison":[56],"popular":[59],"traditional":[60],"handcrafted":[61],"point":[63],"detectors":[64],"under":[65],"various":[66],"transformations.":[67],"Our":[68],"scheme":[69],"is":[70,91],"primarily":[71],"based":[72],"on":[73,93],"extraction":[75],"of":[76,79],"dense":[77,95],"trajectories":[78,96],"objects":[80],"through":[84],"optical":[85],"flow":[86],"computations.":[87],"The":[88],"Ramer|Douglas|Peucker(RDP)":[89],"algorithm":[90],"order":[98],"extract":[100],"key":[101],"localised":[105],"dimension.":[109]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}