Detecting Anomalies from a Multitarget Tracking Output
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: 2014DOI: 10.1109/TAES.2013.130377
Keyword(s): object tracking,target tracking,video surveillance,Poisson point process,automatic identification system dataset,kinematic states,maritime surveillance,multiobject tracking algorithm,multitarget tracking algorithms,online anomaly detection,sequential estimation,unsupervised learning phase,Kernel,Kinematics,Partitioning algorithms,Surveillance,Testing,Tracking,Vectors
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Detecting Anomalies from a Multitarget Tracking Output
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| contributor author | Ristic, Branko | |
| date accessioned | 2020-03-13T00:01:47Z | |
| date available | 2020-03-13T00:01:47Z | |
| date issued | 2014 | |
| identifier issn | 0018-9251 | |
| identifier other | 6809953.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1131871?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Detecting Anomalies from a Multitarget Tracking Output | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8312760 | |
| subject keywords | object tracking | |
| subject keywords | target tracking | |
| subject keywords | video surveillance | |
| subject keywords | Poisson point process | |
| subject keywords | automatic identification system dataset | |
| subject keywords | kinematic states | |
| subject keywords | maritime surveillance | |
| subject keywords | multiobject tracking algorithm | |
| subject keywords | multitarget tracking algorithms | |
| subject keywords | online anomaly detection | |
| subject keywords | sequential estimation | |
| subject keywords | unsupervised learning phase | |
| subject keywords | Kernel | |
| subject keywords | Kinematics | |
| subject keywords | Partitioning algorithms | |
| subject keywords | Surveillance | |
| subject keywords | Testing | |
| subject keywords | Tracking | |
| subject keywords | Vectors | |
| identifier doi | 10.1109/TAES.2013.130377 | |
| journal title | Aerospace and Electronic Systems, IEEE Transactions on | |
| journal volume | 50 | |
| journal issue | 1 | |
| filesize | 565058 | |
| citations | 1 |