Eleanor S Smith
Biographic Data
| ID | 3774291 |
|---|---|
| NAME | Eleanor S Smith |
| GIVEN NAMES | Eleanor S |
| FAMILY NAME | Smith |
| SIGNATURE | SMITH E S |
| AFFILIATIONS | University of Leeds |
| ORCID | 0000-0002-1196-3529 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Estimating the density of urban trees in 1890s Leeds and Edinburgh using object detection on historical maps
We present a new end-to-end methodology for extracting symbols from historical maps and demonstrate an application of the method to extract details of the urban forests of Leeds and Edinburgh in the UK using Ordnance Survey maps from the 1890s. The methods presented allow tree symbols on 1:500 scale maps to be efficiently extracted, with our object detection model achieving an F 1 -score of 0.945. The results for each city are presented on the Na…
Validation of an open source, remote web‐based eye‐tracking method (WebGazer) for research in early childhood
Measuring eye movements remotely via the participant's webcam promises to be an attractive methodological addition to in‐person eye‐tracking in the lab. However, there is a lack of systematic research comparing remote web‐based eye‐tracking with in‐lab eye‐tracking in young children. We report a multi‐lab study that compared these two measures in an anticipatory looking task with toddlers using WebGazer.js and jsPsych. Results of our remotely tes…
No prominent works on this page.
Validation of an open source, remote web‐based eye‐tracking method (WebGazer) for research in early childhood
Measuring eye movements remotely via the participant's webcam promises to be an attractive methodological addition to in‐person eye‐tracking in the lab. However, there is a lack of systematic research comparing remote web‐based eye‐tracking with in‐lab eye‐tracking in young children. We report a multi‐lab study that compared these two measures in an anticipatory looking task with toddlers using WebGazer.js and jsPsych. Results of our remotely tes…
Estimating the density of urban trees in 1890s Leeds and Edinburgh using object detection on historical maps
We present a new end-to-end methodology for extracting symbols from historical maps and demonstrate an application of the method to extract details of the urban forests of Leeds and Edinburgh in the UK using Ordnance Survey maps from the 1890s. The methods presented allow tree symbols on 1:500 scale maps to be efficiently extracted, with our object detection model achieving an F 1 -score of 0.945. The results for each city are presented on the Na…
Artificial Intelligence (2 works) · Computer Science (2 works) · Archaeological Research and Protection (1 works) · Cartography (1 works) · Child and Animal Learning Development (1 works) · Child Development and Digital Technology (1 works) · Computer vision (1 works) · Eye tracking (1 works) · Gaze (1 works) · Gaze Tracking and Assistive Technology (1 works)