https://github.com/vida-nyu/pedestrian-sensing-model

Generation of a pedestrian density map using ground-level images.
https://github.com/vida-nyu/pedestrian-sensing-model

Last synced: 3 months ago
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Generation of a pedestrian density map using ground-level images.

• Host: GitHub
• URL: https://github.com/vida-nyu/pedestrian-sensing-model
• Owner: VIDA-NYU
• License: mit
• Created: 2019-09-07T13:53:20.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-09-07T15:02:07.000Z (almost 6 years ago)
• Last Synced: 2025-01-24T15:36:39.737Z (5 months ago)
• Language: Python
• Homepage:
• Size: 57.6 KB
• Stars: 2
• Watchers: 7
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Pedestrian sensing model

Pedestrian detection and heatmap generation using ground-level images. Simulation of the sensing process.

 

The code is divided into three parts: 

 1. pedestrian detection

 2. density map generation 

 3. simulation

 

 This is a joint work with [NYU](https://vida.engineering.nyu.edu/), [Carmera](https://carmera.com) and [USP](https://www5.usp.br/#english). The full description of this work is under analysis in ACM Transactions on Spatial Algorithms and Systems.