2021
DOI: 10.1016/j.scs.2021.102765
|View full text |Cite
|
Sign up to set email alerts
|

A novel social distancing analysis in urban public space: A new online spatio-temporal trajectory approach

Abstract: Social distancing in public spaces plays a crucial role in controlling or slowing down the spread of coronavirus during the COVID-19 pandemic. The Visual Social Distancing (VSD) offers an opportunity for real-time measuring and analysing the physical distance between pedestrians using surveillance videos in public spaces. It potentially provides new evidence for implementing effective prevention measures of the pandemic. The existing VSD methods developed in the literature are primarily based on frame-by-frame… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
44
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 31 publications
(46 citation statements)
references
References 41 publications
0
44
0
Order By: Relevance
“…This system provides nationwide surveillance of the infectious diseases. The other notable solutions that have demonstrated effectiveness in terms of privacy protection are, digitally controlled health management system [52], privacy-aware energy-efficient framework (P-AEEF) protocol [53], spatio-temporal trajectory approaches with privacy [54], encryption mechanisms [55], and surveillance system [56]. All these solutions have demonstrated effectiveness for preserving people's privacy when data are collected/reported by the users for analysis or determining the probability of exposure.…”
Section: Latest Technologies/solutions Devised So For To Alleviate Prmentioning
confidence: 99%
“…This system provides nationwide surveillance of the infectious diseases. The other notable solutions that have demonstrated effectiveness in terms of privacy protection are, digitally controlled health management system [52], privacy-aware energy-efficient framework (P-AEEF) protocol [53], spatio-temporal trajectory approaches with privacy [54], encryption mechanisms [55], and surveillance system [56]. All these solutions have demonstrated effectiveness for preserving people's privacy when data are collected/reported by the users for analysis or determining the probability of exposure.…”
Section: Latest Technologies/solutions Devised So For To Alleviate Prmentioning
confidence: 99%
“…Implementation of physical distance restrictions in public spaces plays an important role in controlling or slowing the spread of the coronavirus during the COVID-19 pandemic (CDC, 2020;Su et al, 2021). The policy for handling the COVID-19 pandemic will increase the personal distance by at least 180 cm (Jasinski, 2020).…”
Section: Figure 1 Categories Of Interpersonal Space Developed By Edward T Hall (1966)mentioning
confidence: 99%
“…Regarding the spread of the COVID-19 pandemic, Su et al (2021) suggest that the longer people stay at an unsafe distance, the higher the risk of infection. The duration factor in the study conducted by Su et al (2021) against pedestrians who are at an unsafe distance is also an important factor that must be taken into account. To describe the degree of gathering of pedestrians in public spaces, Su et al (2021) defines the concept of a gathering group.…”
Section: Figure 1 Categories Of Interpersonal Space Developed By Edward T Hall (1966)mentioning
confidence: 99%
See 1 more Smart Citation
“… Sun and Zhai (2020) addressed two crucial indices for quantitatively evaluating social distancing and ventilation effectiveness in preventing transmission of respiratory disease infection like COVID-19. Su et al (2021) proposed a visual social distancing method in urban public spaces that considers both Euclidean distance between tracking objects from a static perspective and Frechet distance between trajectories to estimate and analyze the social distancing. Fu and Zhai (2021) applied the geographically and temporally weighted regression model to examine the association between conventional social vulnerability indicators and social distancing in New York City.…”
Section: Introductionmentioning
confidence: 99%