Stochastic neural networks for automatic cell tracking in microscopy image sequences of bacterial colonies
Our work targets automated analysis to quantify the growth dynamics of a population of
bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of …
bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of …
Wide baseline pose estimation from video with a density-based uncertainty model
Robust wide baseline pose estimation is an essential step in the deployment of smart
camera networks. In this work, we highlight some current limitations of conventional …
camera networks. In this work, we highlight some current limitations of conventional …
Parameter estimation for visual tracking of a spherical pendulum with particle filter
In this paper we present a particle filter for visual tracking using a physical model of the
object to be tracked. Moreover, a parameter estimation scheme is implemented to identify …
object to be tracked. Moreover, a parameter estimation scheme is implemented to identify …
[PDF][PDF] Health, demographic change and wellbeing
Executive Summary The deliverable D2. 2 “Human motion models”, due at month 24,
presents the research activities concerning the mathematical models for human locomotion …
presents the research activities concerning the mathematical models for human locomotion …
Tackling pedestrian detection in large scenes with multiple views and representations
N Pellicanò - 2018 - theses.hal.science
Pedestrian detection and tracking have become important fields in Computer Vision
research, due to their implications for many applications, eg surveillance, autonomous cars …
research, due to their implications for many applications, eg surveillance, autonomous cars …