D3.2: ML Detector to analyse crowd movements in videos
This deliverable describes the efforts done during Period 1, Period 2 and part of Period 3 in the Work Package 3 of the CrowdDNA project towards developing a new crowd simulator algorithm tailored to model both macro and micro-level crowd characteristics.
D3.1: ML Generator to analyse crowd movements in videos
This deliverable describes the efforts done during periods 1, 2 and half-way through 3 in the Work Package 3 (WP3) of the project towards, first, generating synthetic data and, second, training a detector.
D1.3: Field dataset
This report details the work completed to achieve deliverable D1.3 Field Data and outlines the data captured, analysis and sharing of data and the interrelation of this deliverable with other consortium partners and deliverables.
D2.1: Internal version of the simulator
This deliverable describes the efforts done during periods 1 and 2 in the Work Package 2 of the CrowdDNA project towards developing a new crowd simulator algorithm tailored to model both macro and micro-level crowd characteristics.
D1.2: Laboratory dataset on large groups
This deliverable describes the efforts made in task T1.3 “Laboratory experiments in large groups”.
D1.1: Laboratory dataset on small groups
This deliverable describes the efforts made in task T1.2 “Laboratory experiments on small groups”. The goal of this task is to conduct experiments under controlled laboratory conditions with individual participants or small groups that help to fulfill the objectives of WP1.
D4.1: Report on Crowd Observatories
This report focuses on the first set of observatories for CrowdDNA, looking specifically at the movement of people in an environment where the movement is uninhibited by controlled experiments.
Deliverable 5.1: Website and project logo
After the first two months of the project, the first project report is ready!