RT Dissertation/Thesis
T1 Design of Real-Time Multiple Object Visual Detection and Tracking Systems
A1 Fernández Sanjurjo, Mauro
K1 multiple object tracking
K1 visual tracking
K1 edge computing
K1 deep learning
K1 convolutional neural networks (CNNs)
K1 data association
K1 computer vision
K1 traffic monitoring
AB Multiple object detection and tracking is one of the main topics in computervision. The task is to identify all the objects of interest in a frame of a video and to assign an unique ID to thoseinstances that correspond to the same object while it appears in the scene. This is a fundamental task of manyvideo analytics applications like traffic monitoring or video surveillance, which usually requires real-time processingspeed and its execution on different hardware devices.In this PhD Thesis we address the topic of Real-Time Multiple Object Detection and Tracking Systems, combiningstate-of-the-art detectors, trackers and data association techniques. Particularly, we focus on the design of Real-Time Multiple Object Detection and Tracking systems for both server architectures and embedded devices, that areable to work with dozens of objects in real-time.
YR 2021
FD 2021
LK http://hdl.handle.net/10347/26471
UL http://hdl.handle.net/10347/26471
LA eng
DS Minerva
RD 23 abr 2026