Mobile Surveillance Technologies Research Papers (original) (raw)

In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow. KEY WORDS Motion estimation, principal component regression, and surveillance. 1.

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- Computer Vision, Image Processing, Image and Video Compression, Motion perception

Cameras are ubiquitous and increasingly mobile. While CCTV has captured considerable attention by surveillance researchers, the new visibility of police activities is increasingly produced by incidental sousveillance and wearable on-officer camera systems. This article considers advocacy for policing’s new visibility, contrasting that of police accountability activists who film police with designers and early adopters of on-officer cameras. In both accounts, these devices promise accountability by virtue of their mechanical objectivity. However, to each party, accountability functions rather differently. By attending to the social and legal privileging of police officers’ perspectives, the article provides an explanation for design decisions that produced Taser’s AXON Flex on-officer cameras and for why police are embracing these new technologies. Critics of these cameras cite privacy concerns, officer discretion in operating cameras, and department disclosure of footage. Nonetheles...

- by Ben Brucato
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- Sociology, Criminology, Police Science, Visual Studies

This paper analyzes the use of surveillance by activist groups opposed to the extensive securitization of the US-Mexico border and examines the implications of their activities for scholarship on borders, surveillance, and empowerment. The work of three organizations-the American Civil Liberties Union (ACLU), No More Deaths, and Humane Borders-is covered. While there is some overlap in their practices, these three organizations, respectively, have concentrated on (1) the use of digital photography and video recording equipment to monitor state agents and vigilante organizations; (2) the coordination of citizen-organized foot patrols to locate and assist migrants in danger; and (3) the use of Geographic Information Systems (GIS) to support the provision of water and high-resolution border maps to migrants. In documenting the practical use and symbolic framing of surveillance by secular and faith-based activists, this article adds necessary complexity to prevailing conceptualizations of observational strategies and practices. It demonstrates that, while they may enhance and extend state control over bounded territories and populations, watching, monitoring, and rendering visible are not inherently exclusionary or repressive acts and can, in fact, be used in the service of undermining borders and their attendant consequences. The groups examined herein have applied surveillance towards contesting official gatekeeping strategies and creating alternative moral geographies where the imperatives of sovereignty and national security are subordinated to social justice and global hospitality.

- by James Walsh
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- Critical Theory, Religion, History of Science and Technology, Sociology

Abstract. In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is ...