RT Conference Proceedings
T1 Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.
A1 Fernández-Rodríguez, Jose David
A1 Carmona-Martínez, Pablo
A1 Benítez-Rochel, Rafaela
A1 Molina-Cabello, Miguel Ángel
A1 López-Rubio, Ezequiel
K1 Diseño orientado a objetos
K1 Videovigilancia electrónica - Tráfico
AB As traffic cameras become prevalent, and a considerableamount of traffic videos are stored for various purposes, new possibilitiesand challenges open in the automatic analysis of traffic scenes. Advancesin deep learning also enable new ways to characterize traffic in suchvideos automatically. This work is motivated by the need to understandtraffic flow without human supervision, especially the localization of roadintersections in scenes from traffic cameras. For this purpose, a methodis proposed that uses a deep learning neural network for vehicle detection, an object tracker to recover vehicle trajectories from the detections,and unsupervised machine learning techniques to detect potential incoming and outgoing traffic flows from the vehicle trajectories in the videosequences. A wide range of real and synthetic videos have been used totest the goodness of the proposal with satisfactory results, from trafficcameras at different heights and angles, different traffic patterns, andvarious weather conditions.
PB Springer
YR 2024
FD 2024
LK https://hdl.handle.net/10630/32258
UL https://hdl.handle.net/10630/32258
LA eng
NO Fernández-Rodríguez, J.D., Carmona-Martínez, P., Benítez-Rochel, R., Molina-Cabello, M.A., López-Rubio, E. (2024). Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences. In: Ferrández Vicente, J.M., Val Calvo, M., Adeli, H. (eds) Bioinspired Systems for Translational Applications: From Robotics to Social Engineering. IWINAC 2024. Lecture Notes in Computer Science, vol 14675. Springer, Cham. https://doi.org/10.1007/978-3-031-61137-7_1
NO Política de acceso abierto tomada de: https://www.springernature.com/gp/open-research/policies/book-policies
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026