Resumen
To achieve significant improvements in public transport it is necessary to develop an autonomous system that locates and counts passengers in real time in scenarios with a high level of occlusion, providing tools to efficiently solve problems such as reduction and stabilization in travel times, greater fluency, better control of fleets and less congestion. A deep learning method based in transfer learning is used to accomplish this: You Only Look Once (YOLO) version 3 and Faster RCNN Inception version 2 architectures are fine tuned using PAMELA-UANDES dataset, which contains annotated images of the boarding and alighting of passengers on a subway platform from a superior perspective. The locations given by the detector are passed through a multiple object tracking system implemented based on a Markov decision process that associates subjects in consecutive frames and assigns identities considering overlaps between past detections and predicted positions using a Kalman filter.
Idioma original | Inglés |
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Título de la publicación alojada | 11th International Conference of Pattern Recognition Systems (ICPRS 2021) |
Editorial | Institution of Engineering and Technology |
Páginas | 231-238 |
Número de páginas | 8 |
Volumen | 2021 |
Edición | 1 |
ISBN (versión digital) | 9781839534300, 9781839535048, 9781839535741, 9781839535918, 9781839536045, 9781839536052, 9781839536069, 9781839536199, 9781839536366, 9781839536588, 9781839536793, 9781839536809, 9781839536816, 9781839536847, 9781839537035 |
DOI | |
Estado | Publicada - 7 oct. 2021 |
Evento | 11th International Conference of Pattern Recognition Systems, ICPRS 2021 - Virtual, Online Duración: 17 mar. 2021 → 19 mar. 2021 |
Conferencia
Conferencia | 11th International Conference of Pattern Recognition Systems, ICPRS 2021 |
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Ciudad | Virtual, Online |
Período | 17/03/21 → 19/03/21 |
Nota bibliográfica
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