Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Najla Bouarada Ghrab"'
Publikováno v:
Fourteenth International Conference on Machine Vision (ICMV 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e5ab684c904a9c8da7f216289dcd3f
https://doi.org/10.1117/12.2623121
https://doi.org/10.1117/12.2623121
Publikováno v:
International Journal of Software Innovation. 5:1-18
Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1458c8b34db6f75d3551e96b94d37d41
https://doi.org/10.4018/ijsi.2017100101
https://doi.org/10.4018/ijsi.2017100101
Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c3d9422253a3022f0067a3847e6f03f
https://doi.org/10.4018/978-1-5225-7113-1.ch024
https://doi.org/10.4018/978-1-5225-7113-1.ch024
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319763477
ISDA
ISDA
In this paper, we presented an approach to automatically detect abnormal high-level events in a parking lot. A high-level event or a scenario is a combination of simple events with spatial, temporal and logical relations. We proposed to define the si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f419993d011745ef07fbe9fc2cfad9a5
https://doi.org/10.1007/978-3-319-76348-4_38
https://doi.org/10.1007/978-3-319-76348-4_38
Publikováno v:
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV).
Trajectories of moving objects provide crucial clues for video event analysis especially in surveillance applications. In this paper, we proposed a novel approach for detecting abnormal events in video surveillance. Our approach is based on trajector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d93d5955d0d3c3bec9135f40feb7986c
https://doi.org/10.1109/cgiv.2016.65
https://doi.org/10.1109/cgiv.2016.65
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319415000
ICIAR
ICIAR
The detection of abnormal events is a major challenge in video surveillance systems. In most of the cases, it is based on the analysis of the trajectories of moving objects in a controlled scene. The existing works rely on two phases. Firstly, they e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccf97d7bb77a68f4ad0bd19affa0462
https://doi.org/10.1007/978-3-319-41501-7_42
https://doi.org/10.1007/978-3-319-41501-7_42
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642312533
ICISP
ICISP
In this paper, we present an algorithm for tracking objects in road traffic sequences which is based on coherent strategy. This strategy relies on two times processing. Firstly, a Short-Term Processing (STP) based on spatial analysis and multilevel r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca18f8855357369d2866d7603a7f6421
https://doi.org/10.1007/978-3-642-31254-0_46
https://doi.org/10.1007/978-3-642-31254-0_46