Feature Points Detection and Image Matching

Lucas, Laurent; Loscos, Céline; Rémion, Yannick

doi:10.1002/9781118761915.ch6

Cited by 2 publications

(1 citation statement)

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“…Before exporting the trajectories from PeTrack, the results of the tracking were used to further improve the output data to interpolate the movement between dropped frames. For this, the displacement of each pedestrian in a frame was computed using the Lucas-Kanade method [21,22]. Computing the ratio between these displacements and the average displacement of the previous frame gave the number of missing frames.…”

Section: Camera and Trajectoriesmentioning

confidence: 99%

Pedestrian Crowd Management Experiments: A Data Guidance Paper

Boomers,

Boltes,

Adrian

et al. 2023

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Understanding pedestrian dynamics and the interaction of pedestrians with their environment is crucial to the safe and comfortable design of pedestrian facilities. Experiments offer the opportunity to explore the influence of individual factors. In the context of the project CroMa (Crowd Management in transport infrastructures), experiments were conducted with about 1000 participants to test various physical and social psychological hypotheses focusing on people's behaviour at railway stations and crowd management measures. The following experiments were performed: i) Train Platform Experiment, ii) Crowd Management Experiment, iii) Single-File Experiment, iv) Personal Space Experiment, v) Boarding and Alighting Experiment, vi) Bottleneck Experiment and vii) Tiny Box Experiment. This paper describes the basic planning and implementation steps, outlines all experiments with parameters, geometries, applied sensor technologies and pre- and post-processing steps. All data can be found in the pedestrian dynamics data archive.

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Section: Camera and Trajectoriesmentioning

confidence: 99%