Three-dimensional reconstruction using SFM for actual pedestrian classification

Author:

Gomez-Donoso FranciscoORCID,Castano-Amoros JulioORCID,Escalona FelixORCID,Cazorla MiguelORCID

Funder

Nvidia

España Ministerio de Ciencia e Innovación

Federación Española de Enfermedades Raras

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

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2. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy,2020

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4. Computer vision and deep learning techniques for pedestrian detection and tracking: A survey;Brunetti;Neurocomputing,2018

5. Chen, X., Ma, H., Wan, J., Li, B., & Xia, T. (2017). Multi-view 3d object detection network for autonomous driving. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1907–1915).

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