757 research outputs found

    Body Cameras for the Buffalo Police: Best Practices for Policy Creation

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    This policy brief was drafted by Sarah Wooton, policy analyst at Partnership for the Public Good. It recommends that the Buffalo Police Department adopt policies governing the use of body cameras with a focus on six areas: activation, pre-report viewing, footage retention, footage protection, public disclosure of footage, and public input. Research suggests that simply adding body cameras may not improve policing without strong policies in each of these six areas

    How Has the Implementation of Body Worn Cameras Affected Law Enforcement in Texas?

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    Since 2011, when the first body worn camera program for police officers in the United States was introduced in Rialto, California, researchers have been interested in how such programs might influence U.S. law enforcement. Studies in the past several years have examined various aspects of the effects of body worn cameras, including their impact on public relations, police morale, and law enforcement budgets. Also of note is the importance of police compliance with the Freedom of Information Act (FOIA), and the unique challenges presented by body worn camera records with regard to FOIA. This article seeks to determine the effect of body worn camera programs on law enforcement, focusing on the programs’ effects on Texas law enforcement specifically. The author consulted the findings of government officials as well as those of professionals within the fields of justice and law enforcement. Each law enforcement agency is unique and must individually weigh the costs and benefits of body worn camera programs. Although several concerns are reported to have arisen within the law enforcement ranks of those affected by the cameras, such as additional supervisor and program costs, for example, the overall results of body worn camera implementation have been positive. In the face of the recently strained relationship between the public and law enforcement, utilizing technological innovations such as body worn cameras could restore a sense of accountability, trust, and peace of mind to both the citizens of the United States and those charged with their protection

    Police On-Body Cameras: A Violation of Privacy?

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    Body Cameras and the Path to Redeem Privacy Law

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    From a privacy perspective, the movement towards police body cameras seems ominous. The prospect of a surveillance device capturing massive amounts of data concerning people’s most vulnerable moments is daunting. These concerns are compounded by the fact that there is little consensus and few hard rules on how and for whom these systems should be built and used. But in many ways, this blank slate is a gift. Law and policy makers are not burdened by the weight of rules and technologies created in a different time for a different purpose. These surveillance and data technologies will be modern. Many of the risks posed by the systems will be novel as well. Our privacy rules must keep up. In this Article, I argue that police body cameras are an opportunity to chart a path past privacy law’s most vexing missteps and omissions. Specifically, lawmakers should avoid falling back on the “reasonable expectation of privacy” standard. Instead, they should use body cameras to embrace more nuanced theories of privacy, such as trust and obscurity. Trust-based relationships can be used to counter the harshness of the third party doctrine. The value of obscurity reveals the misguided nature of the argument that there is “no privacy in public.” Law and policy makers can also better protect privacy by creating rules that address how body cameras and data technologies are designed in addition to how they are used. Since body-camera systems implicate every stage of the modern data life cycle from collection to disclosure, they can serve as a useful model across industry and government. But if law and policy makers hope to show how privacy rules can be improved, they must act quickly. The path to privacy law’s redemption will stay clear for only so long

    WEARABLE PRIVACY PROTECTION WITH VISUAL BUBBLE

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    Wearable cameras are increasingly used in many different applications such as entertainment, security, law enforcement and healthcare. In this thesis, we focus on the application of the police worn body camera and behavioral recording using a wearable camera for one-on-one therapy with a child in a classroom or clinic. To protect the privacy of other individuals in the same environment, we introduce a new visual privacy protection technique called visual bubble. Visual bubble is a virtual zone centered around the camera for observation whereas the rest of the environment and people are obfuscated. In contrast to most existing visual privacy protection systems that rely on visual classifiers, visual bubble is based on depth estimation to determine the extent of privacy protection. To demonstrate this concept, we construct a wearable stereo camera for depth estimation on the Raspberry Pi platform. We also propose a novel framework to quantify the uncertainty in depth measurements so as to minimize a statistical privacy risk in constructing the depth-based privacy bubble. To evaluate our system, we have collected three datasets. The effectiveness of the proposed scheme is demonstrated with experimental results
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