Changes
On December 16, 2024 at 11:16:38 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in DanceTrack -
Changed value of field
doi_date_published
to2024-12-16
in DanceTrack -
Added resource Original Metadata to DanceTrack
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yunhao Du", | 3 | "author": "Yunhao Du", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2402.15895", | 6 | "https://doi.org/10.48550/arXiv.2402.15895", | ||
7 | "https://doi.org/10.48550/arXiv.2405.15755", | 7 | "https://doi.org/10.48550/arXiv.2405.15755", | ||
8 | "https://doi.org/10.48550/arXiv.2406.13271" | 8 | "https://doi.org/10.48550/arXiv.2406.13271" | ||
9 | ], | 9 | ], | ||
10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
11 | "defined_in": "https://doi.org/10.48550/arXiv.2403.08018", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.2403.08018", | ||
12 | "doi": "10.57702/y94qddjd", | 12 | "doi": "10.57702/y94qddjd", | ||
n | 13 | "doi_date_published": null, | n | 13 | "doi_date_published": "2024-12-16", |
14 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
n | 15 | "doi_status": false, | n | 15 | "doi_status": true, |
16 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
17 | "extra_authors": [ | 17 | "extra_authors": [ | ||
18 | { | 18 | { | ||
19 | "extra_author": "Zhicheng Zhao", | 19 | "extra_author": "Zhicheng Zhao", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Fei Su", | 23 | "extra_author": "Fei Su", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | } | 25 | } | ||
26 | ], | 26 | ], | ||
27 | "groups": [ | 27 | "groups": [ | ||
28 | { | 28 | { | ||
29 | "description": "", | 29 | "description": "", | ||
30 | "display_name": "Dance", | 30 | "display_name": "Dance", | ||
31 | "id": "9e8024ff-d190-432b-ab6b-3bfa8e06fe3c", | 31 | "id": "9e8024ff-d190-432b-ab6b-3bfa8e06fe3c", | ||
32 | "image_display_url": "", | 32 | "image_display_url": "", | ||
33 | "name": "dance", | 33 | "name": "dance", | ||
34 | "title": "Dance" | 34 | "title": "Dance" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Multi-Object Tracking", | 38 | "display_name": "Multi-Object Tracking", | ||
39 | "id": "1d1ff421-833b-43fe-96be-b4188ae4c238", | 39 | "id": "1d1ff421-833b-43fe-96be-b4188ae4c238", | ||
40 | "image_display_url": "", | 40 | "image_display_url": "", | ||
41 | "name": "multi-object-tracking", | 41 | "name": "multi-object-tracking", | ||
42 | "title": "Multi-Object Tracking" | 42 | "title": "Multi-Object Tracking" | ||
43 | } | 43 | } | ||
44 | ], | 44 | ], | ||
45 | "id": "8a34cdba-767e-49f8-9800-cd4063c5861b", | 45 | "id": "8a34cdba-767e-49f8-9800-cd4063c5861b", | ||
46 | "isopen": false, | 46 | "isopen": false, | ||
47 | "landing_page": "https://github.com/dyhBUPT/HIT", | 47 | "landing_page": "https://github.com/dyhBUPT/HIT", | ||
48 | "license_title": null, | 48 | "license_title": null, | ||
49 | "link_orkg": "", | 49 | "link_orkg": "", | ||
50 | "metadata_created": "2024-12-16T23:16:36.984085", | 50 | "metadata_created": "2024-12-16T23:16:36.984085", | ||
n | 51 | "metadata_modified": "2024-12-16T23:16:36.984090", | n | 51 | "metadata_modified": "2024-12-16T23:16:37.502614", |
52 | "name": "dancetrack", | 52 | "name": "dancetrack", | ||
53 | "notes": "Many Multi-Object Tracking (MOT) approaches exploit motion | 53 | "notes": "Many Multi-Object Tracking (MOT) approaches exploit motion | ||
54 | information to associate all the detected objects across frames. | 54 | information to associate all the detected objects across frames. | ||
55 | However, many methods that rely on filtering-based algorithms, such as | 55 | However, many methods that rely on filtering-based algorithms, such as | ||
56 | the Kalman Filter, often work well in linear motion scenarios but | 56 | the Kalman Filter, often work well in linear motion scenarios but | ||
57 | struggle to accurately predict the locations of objects undergoing | 57 | struggle to accurately predict the locations of objects undergoing | ||
58 | complex and non-linear movements.", | 58 | complex and non-linear movements.", | ||
n | 59 | "num_resources": 0, | n | 59 | "num_resources": 1, |
60 | "num_tags": 13, | 60 | "num_tags": 13, | ||
61 | "organization": { | 61 | "organization": { | ||
62 | "approval_status": "approved", | 62 | "approval_status": "approved", | ||
63 | "created": "2024-11-25T12:11:38.292601", | 63 | "created": "2024-11-25T12:11:38.292601", | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 65 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
66 | "image_url": "", | 66 | "image_url": "", | ||
67 | "is_organization": true, | 67 | "is_organization": true, | ||
68 | "name": "no-organization", | 68 | "name": "no-organization", | ||
69 | "state": "active", | 69 | "state": "active", | ||
70 | "title": "No Organization", | 70 | "title": "No Organization", | ||
71 | "type": "organization" | 71 | "type": "organization" | ||
72 | }, | 72 | }, | ||
73 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 73 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
74 | "private": false, | 74 | "private": false, | ||
75 | "relationships_as_object": [], | 75 | "relationships_as_object": [], | ||
76 | "relationships_as_subject": [], | 76 | "relationships_as_subject": [], | ||
t | 77 | "resources": [], | t | 77 | "resources": [ |
78 | { | ||||
79 | "cache_last_updated": null, | ||||
80 | "cache_url": null, | ||||
81 | "created": "2024-12-16T23:37:10", | ||||
82 | "data": [ | ||||
83 | "dcterms:title", | ||||
84 | "dcterms:accessRights", | ||||
85 | "dcterms:creator", | ||||
86 | "dcterms:description", | ||||
87 | "dcterms:issued", | ||||
88 | "dcterms:language", | ||||
89 | "dcterms:identifier", | ||||
90 | "dcat:theme", | ||||
91 | "dcterms:type", | ||||
92 | "dcat:keyword", | ||||
93 | "dcat:landingPage", | ||||
94 | "dcterms:hasVersion", | ||||
95 | "dcterms:format", | ||||
96 | "mls:task", | ||||
97 | "datacite:isDescribedBy" | ||||
98 | ], | ||||
99 | "description": "The json representation of the dataset with its | ||||
100 | distributions based on DCAT.", | ||||
101 | "format": "JSON", | ||||
102 | "hash": "", | ||||
103 | "id": "3cb95034-7427-4384-a2ad-67c3a283362d", | ||||
104 | "last_modified": "2024-12-16T23:16:37.494605", | ||||
105 | "metadata_modified": "2024-12-16T23:16:37.505403", | ||||
106 | "mimetype": "application/json", | ||||
107 | "mimetype_inner": null, | ||||
108 | "name": "Original Metadata", | ||||
109 | "package_id": "8a34cdba-767e-49f8-9800-cd4063c5861b", | ||||
110 | "position": 0, | ||||
111 | "resource_type": null, | ||||
112 | "size": 1263, | ||||
113 | "state": "active", | ||||
114 | "url": | ||||
115 | resource/3cb95034-7427-4384-a2ad-67c3a283362d/download/metadata.json", | ||||
116 | "url_type": "upload" | ||||
117 | } | ||||
118 | ], | ||||
78 | "services_used_list": "", | 119 | "services_used_list": "", | ||
79 | "state": "active", | 120 | "state": "active", | ||
80 | "tags": [ | 121 | "tags": [ | ||
81 | { | 122 | { | ||
82 | "display_name": "Dance", | 123 | "display_name": "Dance", | ||
83 | "id": "7938641e-a12e-4607-b995-b42c72bc6c8a", | 124 | "id": "7938641e-a12e-4607-b995-b42c72bc6c8a", | ||
84 | "name": "Dance", | 125 | "name": "Dance", | ||
85 | "state": "active", | 126 | "state": "active", | ||
86 | "vocabulary_id": null | 127 | "vocabulary_id": null | ||
87 | }, | 128 | }, | ||
88 | { | 129 | { | ||
89 | "display_name": "Diverse Motion", | 130 | "display_name": "Diverse Motion", | ||
90 | "id": "4a8cd7ce-ce01-4abf-ad90-4b0f330e56e0", | 131 | "id": "4a8cd7ce-ce01-4abf-ad90-4b0f330e56e0", | ||
91 | "name": "Diverse Motion", | 132 | "name": "Diverse Motion", | ||
92 | "state": "active", | 133 | "state": "active", | ||
93 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
94 | }, | 135 | }, | ||
95 | { | 136 | { | ||
96 | "display_name": "Kalman Filter", | 137 | "display_name": "Kalman Filter", | ||
97 | "id": "ab6c4fcc-5454-4d58-bc4e-28a987f06537", | 138 | "id": "ab6c4fcc-5454-4d58-bc4e-28a987f06537", | ||
98 | "name": "Kalman Filter", | 139 | "name": "Kalman Filter", | ||
99 | "state": "active", | 140 | "state": "active", | ||
100 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
101 | }, | 142 | }, | ||
102 | { | 143 | { | ||
103 | "display_name": "Multi-Object Tracking", | 144 | "display_name": "Multi-Object Tracking", | ||
104 | "id": "2dc8c349-aa1f-4154-a63b-c3714c548cc0", | 145 | "id": "2dc8c349-aa1f-4154-a63b-c3714c548cc0", | ||
105 | "name": "Multi-Object Tracking", | 146 | "name": "Multi-Object Tracking", | ||
106 | "state": "active", | 147 | "state": "active", | ||
107 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
108 | }, | 149 | }, | ||
109 | { | 150 | { | ||
110 | "display_name": "Object Detection", | 151 | "display_name": "Object Detection", | ||
111 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 152 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
112 | "name": "Object Detection", | 153 | "name": "Object Detection", | ||
113 | "state": "active", | 154 | "state": "active", | ||
114 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
115 | }, | 156 | }, | ||
116 | { | 157 | { | ||
117 | "display_name": "Tracking", | 158 | "display_name": "Tracking", | ||
118 | "id": "e11c47dc-870a-4a5f-99a0-464bb3697998", | 159 | "id": "e11c47dc-870a-4a5f-99a0-464bb3697998", | ||
119 | "name": "Tracking", | 160 | "name": "Tracking", | ||
120 | "state": "active", | 161 | "state": "active", | ||
121 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
122 | }, | 163 | }, | ||
123 | { | 164 | { | ||
124 | "display_name": "Uniform Appearance", | 165 | "display_name": "Uniform Appearance", | ||
125 | "id": "3dd1ae5f-4ceb-4e5f-8d60-29953ba6943b", | 166 | "id": "3dd1ae5f-4ceb-4e5f-8d60-29953ba6943b", | ||
126 | "name": "Uniform Appearance", | 167 | "name": "Uniform Appearance", | ||
127 | "state": "active", | 168 | "state": "active", | ||
128 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
129 | }, | 170 | }, | ||
130 | { | 171 | { | ||
131 | "display_name": "car tracking", | 172 | "display_name": "car tracking", | ||
132 | "id": "e5edf297-51b0-46fd-8538-915b3a7ca0b5", | 173 | "id": "e5edf297-51b0-46fd-8538-915b3a7ca0b5", | ||
133 | "name": "car tracking", | 174 | "name": "car tracking", | ||
134 | "state": "active", | 175 | "state": "active", | ||
135 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
136 | }, | 177 | }, | ||
137 | { | 178 | { | ||
138 | "display_name": "complex scenarios", | 179 | "display_name": "complex scenarios", | ||
139 | "id": "cc5c8c7a-d288-4cbd-a08c-957a8bf976cc", | 180 | "id": "cc5c8c7a-d288-4cbd-a08c-957a8bf976cc", | ||
140 | "name": "complex scenarios", | 181 | "name": "complex scenarios", | ||
141 | "state": "active", | 182 | "state": "active", | ||
142 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
143 | }, | 184 | }, | ||
144 | { | 185 | { | ||
145 | "display_name": "motion information", | 186 | "display_name": "motion information", | ||
146 | "id": "dd05f160-1933-4bab-a5e0-3d51d3442196", | 187 | "id": "dd05f160-1933-4bab-a5e0-3d51d3442196", | ||
147 | "name": "motion information", | 188 | "name": "motion information", | ||
148 | "state": "active", | 189 | "state": "active", | ||
149 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
150 | }, | 191 | }, | ||
151 | { | 192 | { | ||
152 | "display_name": "multi-object tracking", | 193 | "display_name": "multi-object tracking", | ||
153 | "id": "c0224fd2-73d3-425d-a30c-75b43df7632e", | 194 | "id": "c0224fd2-73d3-425d-a30c-75b43df7632e", | ||
154 | "name": "multi-object tracking", | 195 | "name": "multi-object tracking", | ||
155 | "state": "active", | 196 | "state": "active", | ||
156 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
157 | }, | 198 | }, | ||
158 | { | 199 | { | ||
159 | "display_name": "non-linear movements", | 200 | "display_name": "non-linear movements", | ||
160 | "id": "fa5daf40-02d7-4092-b0fb-6981f8917246", | 201 | "id": "fa5daf40-02d7-4092-b0fb-6981f8917246", | ||
161 | "name": "non-linear movements", | 202 | "name": "non-linear movements", | ||
162 | "state": "active", | 203 | "state": "active", | ||
163 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
164 | }, | 205 | }, | ||
165 | { | 206 | { | ||
166 | "display_name": "pedestrian tracking", | 207 | "display_name": "pedestrian tracking", | ||
167 | "id": "674d9cbd-9823-4743-bd21-eb61555c48b3", | 208 | "id": "674d9cbd-9823-4743-bd21-eb61555c48b3", | ||
168 | "name": "pedestrian tracking", | 209 | "name": "pedestrian tracking", | ||
169 | "state": "active", | 210 | "state": "active", | ||
170 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
171 | } | 212 | } | ||
172 | ], | 213 | ], | ||
173 | "title": "DanceTrack", | 214 | "title": "DanceTrack", | ||
174 | "type": "dataset", | 215 | "type": "dataset", | ||
175 | "version": "" | 216 | "version": "" | ||
176 | } | 217 | } |