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of 3
pro vyhledávání: '"Latha Anuj"'
Publikováno v:
Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:2492-2505
Vision-based traffic surveillance has been one of the most promising fields for improvement and research. Still, many challenging problems remain unsolved, such as addressing vehicle occlusions and reducing false detection. In this work, a method for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d7ce2573b381b9563f82b5ac791989b
https://doi.org/10.17762/turcomat.v12i2.2092
https://doi.org/10.17762/turcomat.v12i2.2092
Autor:
Latha Anuj, M. T. Gopalakrishna
Publikováno v:
Smart Intelligent Computing and Applications ISBN: 9789813296893
In this paper, a novel Discriminatively Trained Multi-Source CNN Model (DTM-CNN) is developed for multi-camera based vehicle tracking purpose. DTM-CNN performs pretraining of a gigantically large set of traffic videos to track ground truths for retai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e87b6357aff636333ae8ac0a93296d
https://doi.org/10.1007/978-981-32-9690-9_69
https://doi.org/10.1007/978-981-32-9690-9_69
Autor:
Latha Anuj, M T Gopala Krishna
Publikováno v:
2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA).
In recent years, vision based technologies have gained immense attention across academia-industries to enable optimal surveillance solution for event monitoring, analysis and control. However, the complexities of real time environment and expected fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1adfce38cdc6b26c5156926277454069
https://doi.org/10.1109/icimia.2017.7975652
https://doi.org/10.1109/icimia.2017.7975652