Computer vision based crowd disaster avoidance system: A survey

Yogameena, B.; Nagananthini, C.

doi:10.1016/j.ijdrr.2017.02.021

Cited by 66 publications

(25 citation statements)

References 227 publications

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“…Fig. 3 Demonstration of crowd videos ranked in accordance with prediction values [79] Computer vision based crowd disaster avoidance system: a survey [81] covers different perspectives of crowd scene analysis such as number of cameras employed and target of interest. Along with that crowd behavior analysis, people count, crowd density estimation, person re identification, crowd evacuation, and forensic analysis on crowd disaster and computations on crowd analysis.…”

Section: • Gm-hmm • Slt-hmm • Mohmm • Hm and Osvmsmentioning

confidence: 99%

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

2019

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Section: • Gm-hmm • Slt-hmm • Mohmm • Hm and Osvmsmentioning

confidence: 99%

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

2019

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“…Many researchers have used computer vision techniques to count the number of pilgrims in different spatio-temporal zones like Mataaf (the round courtyard of the Grand Mosque in Makkah where the Tawaf ritual is performed through circumambulation of the Kaaba) using snapshots. Video recordings of the crowd have been used to process crowd behaviour to detect and avoid possible congestion scenarios in advance [62].…”

Section: Computer Visionmentioning

confidence: 99%

Digital Revolution for Hajj Crowd Management: A Technology Survey

et al. 2020

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“…The crowd measurement contained two parts: the crowd density measurement and the number of talkers. Most importantly, in crowd measurement, each participant's facial features were recorded as mosaics, and the participant's vehicle information recorded on video was also processed in order to protect confidentiality [43,44]. In the questionnaire part, participants volunteered to participate in the questionnaire survey.…”

Section: Survey Planningmentioning

confidence: 99%

Influence of Contextual Factors on Soundscape in Urban Open Spaces

et al. 2018

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The acoustic environment in urban open spaces has played a key role for users. This study analyzed the different effects of contextual factors, including shop openness, season, and commercial function, on the soundscape in two typical commercial pedestrian streets. The following observations were based on a series of measurements, including crowd measurements, acoustic environment measurements, and a questionnaire survey. First, the number of talkers in Central Avenue was greater than the number of talkers in Kuan Alley in cases with the same crowd density, while there was no significant difference in the sound pressure level. When the crowd density increased, acoustic comfort trended downward in Kuan Alley, while the value of acoustic comfort in Central Avenue took a parabolic shape. Second, there was no significant difference between the number of talkers in summer and the number of talkers in winter; however, when crowd density increased by 0.1 persons/m2, the level of sound pressure increased by 1.3 dBA in winter and 2.2 dBA in summer. Acoustic comfort took a parabolic shape that first increased and then decreased in both winter and summer. Regarding commercial function, as the crowd density increased, the number of talkers and the level of sound pressure both increased, while acoustic comfort decreased in three zones with different commercial functions. In addition, a cross-tab analysis was used to discuss the relationship between the number of talkers and the level of sound pressure, and it was found to be positive.

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Computer vision based crowd disaster avoidance system: A survey

Cited by 66 publications

References 227 publications

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

Intelligent video surveillance: a review through deep learning techniques for crowd analysis

Digital Revolution for Hajj Crowd Management: A Technology Survey

Influence of Contextual Factors on Soundscape in Urban Open Spaces

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