To investigate crowd density and the effectiveness of social distancing strategies, C2SMART researchers have introduced a low-cost, AI-driven big data acquisition framework leveraging hundreds of traffic cameras along with a deep learning-based video processing method.
Object detection and distance approximation between pedestrian pairs are applied to traffic camera videos at multiple NYC and Seattle locations to analyze local social distancing patterns. This sociability board shows some examples of the application.
The methology can be found from the white paper issue 3
Additonal reference can be found from the following paper:
Zuo, F., Gao, J., Kurkcu, A., Yang, H., Ozbay, O. and Ma, Q., Reference-free video-to-real distance approximation-based urban social distancing analytics amid COVID-19 pandemic, Journal of Transport & Health, Volume 21, 2021 Free Link by May 07
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