Publication Information

{'id': 'https://openalex.org/W2170022336', 'doi': None, 'title': 'Monocular-vision-based study on moving object detection and tracking', 'display_name': 'Monocular-vision-based study on moving object detection and tracking', 'publication_year': 2010, 'publication_date': '2010-05-11', 'ids': {'openalex': 'https://openalex.org/W2170022336', 'mag': '2170022336'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://ieeexplore.ieee.org/document/5488530', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306419730', 'display_name': 'International Conference on New Trends in Information Science and Service Science', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5100407401', 'display_name': 'Dong Liu', 'orcid': 'https://orcid.org/0000-0002-0619-1480'}, 'institutions': [{'id': 'https://openalex.org/I114234892', 'display_name': 'Beijing Union University', 'ror': 'https://ror.org/01hg31662', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I114234892']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Liu Dong', 'raw_affiliation_strings': ['College of Automatic Control, Beijing Union University, 100101, China'], 'affiliations': [{'raw_affiliation_string': 'College of Automatic Control, Beijing Union University, 100101, China', 'institution_ids': ['https://openalex.org/I114234892']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5102975527', 'display_name': 'Xi Lin', 'orcid': 'https://orcid.org/0000-0001-6075-5614'}, 'institutions': [{'id': 'https://openalex.org/I75390827', 'display_name': 'Beijing University of Chemical Technology', 'ror': 'https://ror.org/00df5yc52', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I75390827']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xi Lin', 'raw_affiliation_strings': ['Department of Computer Science and Technology, Beijing University of Chemical Technology, 100029, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science and Technology, Beijing University of Chemical Technology, 100029, China', 'institution_ids': ['https://openalex.org/I75390827']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.869, 'has_fulltext': False, 'cited_by_count': 11, 'citation_normalized_percentile': {'value': 0.716227, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 85, 'max': 86}, 'biblio': {'volume': None, 'issue': None, 'first_page': '692', 'last_page': '695'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10331', 'display_name': 'Video Surveillance and Tracking Methods', 'score': 0.9987, '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': 0.9987, '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/T10586', 'display_name': 'Robotic Path Planning Algorithms', 'score': 0.9915, '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': 0.9906, '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/3d-single-object-recognition', 'display_name': '3D single-object recognition', 'score': 0.48497438}, {'id': 'https://openalex.org/keywords/hsl-and-hsv', 'display_name': 'HSL and HSV', 'score': 0.42830977}, {'id': 'https://openalex.org/keywords/feature', 'display_name': 'Feature (linguistics)', 'score': 0.4248384}], 'concepts': [{'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.89442307}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.8848399}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.6671512}, {'id': 'https://openalex.org/C32653426', 'wikidata': 'https://www.wikidata.org/wiki/Q3813641', 'display_name': 'Background subtraction', 'level': 3, 'score': 0.58844274}, {'id': 'https://openalex.org/C202474056', 'wikidata': 'https://www.wikidata.org/wiki/Q1931635', 'display_name': 'Video tracking', 'level': 3, 'score': 0.58552843}, {'id': 'https://openalex.org/C2776151529', 'wikidata': 'https://www.wikidata.org/wiki/Q3045304', 'display_name': 'Object detection', 'level': 3, 'score': 0.5495601}, {'id': 'https://openalex.org/C19966478', 'wikidata': 'https://www.wikidata.org/wiki/Q4810574', 'display_name': 'Mobile robot', 'level': 3, 'score': 0.52065533}, {'id': 'https://openalex.org/C182521987', 'wikidata': 'https://www.wikidata.org/wiki/Q2493877', 'display_name': 'Viola–Jones object detection framework', 'level': 5, 'score': 0.5077008}, {'id': 'https://openalex.org/C14551309', 'wikidata': 'https://www.wikidata.org/wiki/Q4636325', 'display_name': '3D single-object recognition', 'level': 4, 'score': 0.48497438}, {'id': 'https://openalex.org/C64876066', 'wikidata': 'https://www.wikidata.org/wiki/Q5141226', 'display_name': 'Cognitive neuroscience of visual object recognition', 'level': 3, 'score': 0.43736959}, {'id': 'https://openalex.org/C36372059', 'wikidata': 'https://www.wikidata.org/wiki/Q376492', 'display_name': 'HSL and HSV', 'level': 3, 'score': 0.42830977}, {'id': 'https://openalex.org/C2776401178', 'wikidata': 'https://www.wikidata.org/wiki/Q12050496', 'display_name': 'Feature (linguistics)', 'level': 2, 'score': 0.4248384}, {'id': 'https://openalex.org/C52622490', 'wikidata': 'https://www.wikidata.org/wiki/Q1026626', 'display_name': 'Feature extraction', 'level': 2, 'score': 0.4218651}, {'id': 'https://openalex.org/C2781238097', 'wikidata': 'https://www.wikidata.org/wiki/Q175026', 'display_name': 'Object (grammar)', 'level': 2, 'score': 0.3862734}, {'id': 'https://openalex.org/C90509273', 'wikidata': 'https://www.wikidata.org/wiki/Q11012', 'display_name': 'Robot', 'level': 2, 'score': 0.3844397}, {'id': 'https://openalex.org/C160633673', 'wikidata': 'https://www.wikidata.org/wiki/Q355198', 'display_name': 'Pixel', 'level': 2, 'score': 0.2759108}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.20324829}, {'id': 'https://openalex.org/C4641261', 'wikidata': 'https://www.wikidata.org/wiki/Q11681085', 'display_name': 'Face detection', 'level': 4, 'score': 0.09494197}, {'id': 'https://openalex.org/C31510193', 'wikidata': 'https://www.wikidata.org/wiki/Q1192553', 'display_name': 'Facial recognition system', 'level': 3, 'score': 0.084317535}, {'id': 'https://openalex.org/C41895202', 'wikidata': 'https://www.wikidata.org/wiki/Q8162', 'display_name': 'Linguistics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C2522874641', 'wikidata': 'https://www.wikidata.org/wiki/Q808', 'display_name': 'Virus', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C159047783', 'wikidata': 'https://www.wikidata.org/wiki/Q7215', 'display_name': 'Virology', '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}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://ieeexplore.ieee.org/document/5488530', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306419730', 'display_name': 'International Conference on New Trends in Information Science and Service Science', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 5, 'referenced_works': ['https://openalex.org/W2103471724', 'https://openalex.org/W2147476333', 'https://openalex.org/W2154795228', 'https://openalex.org/W3097096317', 'https://openalex.org/W90274328'], 'related_works': ['https://openalex.org/W2534746541', 'https://openalex.org/W2348344229', 'https://openalex.org/W2145182740', 'https://openalex.org/W2139843975', 'https://openalex.org/W2137034639', 'https://openalex.org/W2131069265', 'https://openalex.org/W2127461635', 'https://openalex.org/W2123445742', 'https://openalex.org/W2106667378', 'https://openalex.org/W2083023741', 'https://openalex.org/W2069885731', 'https://openalex.org/W2065072504', 'https://openalex.org/W2049989209', 'https://openalex.org/W2040583589', 'https://openalex.org/W2006552336', 'https://openalex.org/W176310614', 'https://openalex.org/W169839740', 'https://openalex.org/W1559995433', 'https://openalex.org/W1556286662', 'https://openalex.org/W1482913784'], 'abstract_inverted_index': {'In': [0, 26], 'this': [1], 'paper,': [2], 'we': [3, 35, 135], 'present': [4], 'an': [5, 96, 129], 'approach': [6], 'for': [7, 32, 181], 'recognizing': [8], 'and': [9, 92, 144, 150, 184], 'tracking': [10, 70], 'a': [11, 55, 69], 'moving': [12, 84, 91, 108, 142, 157], 'color': [13, 80, 89, 97], 'object': [14, 143], 'which': [15], 'break': [16], 'into': [17, 68], 'the': [18, 23, 40, 48, 76, 83, 88, 101, 114, 133, 138, 141, 146, 154, 165], "robot's": [19, 148], 'camera': [20, 57], 'vision': [21], 'in': [22, 63, 72, 164, 177], 'mobile': [24, 59, 147], 'robot.': [25], 'order': [27, 73], 'to': [28, 74, 106, 152, 173, 179, 186], 'obtain': [29], 'input': [30], 'feature': [31], 'moving-object': [33, 115], 'recognition,': [34, 134], 'perform': [36], 'image': [37], 'processing': [38], 'of': [39, 50, 82, 140, 156, 167], 'video': [41, 51], 'sequence': [42, 52], 'by': [43, 54, 122], 'background': [44, 93], 'substraction': [45, 94], 'method.': [46], 'Given': [47], 'images': [49, 62], 'provided': [53], 'fixed': [56], 'on': [58, 87, 100, 188], 'robot,': [60], 'disparity': [61], 'different': [64], 'time': [65], 'are': [66], 'integrated': [67], 'framework': [71], 'find': [75, 137], 'HSV': [77], 'space': [78], 'based': [79, 99], 'features': [81], 'object.': [85, 109, 158], 'Based': [86], "object's": [90, 126], 'method,': [95], 'classifier': [98], 'HS': [102], 'thresholds': [103], 'is': [104, 171], 'trained': [105], 'detect': [107], 'We': [110], 'show': [111], 'experimentally': [112], 'that': [113], 'recognition': [116, 176], 'performance': [117], 'can': [118, 136], 'be': [119], 'improved': [120], 'significantly': [121], 'using': [123], 'information': [124], 'about': [125], 'edge': [127], 'as': [128], 'additional': [130], 'feature.': [131], 'Through': [132], 'center': [139], 'control': [145], 'angle': [149], 'rate': [151], 'realize': [153], 'vision-tracking': [155], 'Our': [159], 'system': [160], 'aims': [161], 'at': [162], 'applications': [163], 'field': [166], 'robot': [168, 182], 'intelligence,where': [169], 'it': [170], 'important': [172], 'do': [174], 'run-on': [175], 'real-time,': [178], 'allow': [180], 'sel-learning': [183], 'not': [185], 'rely': [187], 'appointed': [189], 'features.': [190]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2170022336', 'counts_by_year': [{'year': 2017, 'cited_by_count': 1}, {'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 2}, {'year': 2013, 'cited_by_count': 4}, {'year': 2012, 'cited_by_count': 2}], 'updated_date': '2024-12-17T00:34:56.118812', 'created_date': '2016-06-24'}