Publications
2017
1.
Saikia, Surajit; Fidalgo, Eduardo; Alegre, Enrique; Fernández-Robles, Laura
Object detection for crime scene evidence analysis using deep learning Artículo de revista
En: Image Analysis and Processing-ICIAP 2017: 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II 19, pp. 14–24, 2017, (Publisher: Springer International Publishing).
Resumen | Enlaces | BibTeX | Etiquetas: fster R-CNN, Object Detection, Real-time system, surveillance
@article{saikia_object_2017,
title = {Object detection for crime scene evidence analysis using deep learning},
author = {Surajit Saikia and Eduardo Fidalgo and Enrique Alegre and Laura Fernández-Robles},
url = {https://link.springer.com/chapter/10.1007/978-3-319-68548-9_2},
year = {2017},
date = {2017-01-01},
journal = {Image Analysis and Processing-ICIAP 2017: 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II 19},
pages = {14–24},
abstract = {This paper introduces a real-time object detection system based on Faster R-CNN for surveillance and crime scene analysis. Tested on ImageNet and Karina datasets, it achieved 74.33% accuracy, detecting objects in 0.12 seconds per image using an Nvidia-TitanX GPU.},
note = {Publisher: Springer International Publishing},
keywords = {fster R-CNN, Object Detection, Real-time system, surveillance},
pubstate = {published},
tppubtype = {article}
}
This paper introduces a real-time object detection system based on Faster R-CNN for surveillance and crime scene analysis. Tested on ImageNet and Karina datasets, it achieved 74.33% accuracy, detecting objects in 0.12 seconds per image using an Nvidia-TitanX GPU.