Crowd-11: A Dataset for Fine Grained Crowd Behaviour Analysis

Author(s):  
Camille Dupont ◽  
Luis Tobias ◽  
Bertrand Luvison
2018 ◽  
Vol 49 (3) ◽  
pp. 200-216 ◽  
Author(s):  
Hidefumi Nishiyama

The recent proliferation of the securitization of crowded places has led to a growth in the development of technologies of crowd behaviour analysis. However, despite the emerging prominence of crowd surveillance in emergency planning, its impacts on our understanding of security and surveillance have received little discussion. Using the case of crowd surveillance in Tokyo, this article examines the ways in which crowds are simulated, monitored and secured through the technology of crowd behaviour analysis, and discusses the implications on the politics of security. It argues that crowd surveillance constitutes a unique form of the biopolitics of security that targets not the individual body or the social body of population, but the urban body of crowd. The power of normalization in crowd surveillance operates in a preemptive manner through the codification of crowd behaviour that is spatially and temporarily specific. The article also interrogates the introduction of crowd surveillance in relation to racialized logics of suspicion and argues that, despite its appearance as non-discriminatory and ‘a-racial’, crowd surveillance entails the racial coding of crowd behaviour and urban space. The article concludes with the introduction of crowd surveillance as a border control technology, which reorients existing modalities of (in)securitization at airports.


2020 ◽  
Vol 64 ◽  
pp. 318-335 ◽  
Author(s):  
Francisco Luque Sánchez ◽  
Isabelle Hupont ◽  
Siham Tabik ◽  
Francisco Herrera

2018 ◽  
Vol 35 (5) ◽  
pp. 753-776 ◽  
Author(s):  
Gaurav Tripathi ◽  
Kuldeep Singh ◽  
Dinesh Kumar Vishwakarma

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