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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Correia, S., Mendes, D., Jorge, P., Brandão, T., Arriaga, P. & Nunes, L. (2023). Occlusion-aware pedestrian detection and tracking. In 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP). Ohrid, North Macedonia: IEEE.
Exportar Referência (IEEE) 
S. D. Correia et al.,  "Occlusion-aware pedestrian detection and tracking", in 2023 30th Int. Conf. on Systems, Signals and Image Processing (IWSSIP), Ohrid, North Macedonia, IEEE, 2023
Exportar BibTeX 
@inproceedings{correia2023_1715285547069,
	author = "Correia, S. and Mendes, D. and Jorge, P. and Brandão, T. and Arriaga, P. and Nunes, L.",
	title = "Occlusion-aware pedestrian detection and tracking",
	booktitle = "2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)",
	year = "2023",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/IWSSIP58668.2023.10180296",
	publisher = "IEEE",
	address = "Ohrid, North Macedonia",
	organization = "",
	url = "https://ieeexplore.ieee.org/xpl/conhome/10180201/proceeding"
}
Exportar RIS 
TY  - CPAPER
TI  - Occlusion-aware pedestrian detection and tracking
T2  - 2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)
AU  - Correia, S.
AU  - Mendes, D.
AU  - Jorge, P.
AU  - Brandão, T.
AU  - Arriaga, P.
AU  - Nunes, L.
PY  - 2023
SN  - 2157-8672
DO  - 10.1109/IWSSIP58668.2023.10180296
CY  - Ohrid, North Macedonia
UR  - https://ieeexplore.ieee.org/xpl/conhome/10180201/proceeding
AB  - This paper proposes an occlusion-aware mechanism, used on a framework for detecting and tracking pedestrians in videos acquired from surveillance cameras, which includes the extraction of trajectory points, estimation of walking velocities, detection of groups, and projection of the final trajectories into a 2D plan. The occlusion-aware mechanism is introduced in order to manage irregularities in the pedestrian trajectory data derived from occlusions. This mechanism is able to identify the parts of the human body that are occluded, using skeleton data generated by human pose estimation algorithms, and adjust the dimensions of the bounding boxes of the occluded pedestrians.
ER  -