Civilizing Surveillance Practices: The Pullman Police Department Public Safety Camera Monitoring Internship Program

Makin, David A.; Jenkins, Gary W.; Gaffney, Michael

doi:10.1080/19361610.2016.1178014

Cited by 3 publications

(3 citation statements)

References 41 publications

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“…Although we have no reason to believe office noncompliance was an issue here, more research with agencies with different activation policies is warranted. Indeed, other filmed data sources may be useful in studying police interactions, including the use of CCTV footage (Makin, Jenkins, and Gaffney 2016).…”

Section: Discussionmentioning

confidence: 99%

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Willits

Makin

2017

Journal of Research in Crime and Delinquency

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Objectives: Using temporal sequencing of unedited police body-worn camera (BWC) footage of use of force incidents, we test four hypotheses to understand how incident-characteristics influence use of force, duration of that force, and the type and severity of force used by police. Method: We code and analyze using data visualization techniques and regression analysis unedited BWC footage involving use of force in a single police agency in the United States. Results: Use of force occurs relatively early in most interactions, though gender, race, and behavioral factors partially explain when and how much force is used. Regression results indicate that force is used more quickly against Black suspects and males. Suspect resistance predicts both time to force (TtF) and the duration of force applied. Finally, police are more likely to use greater levels of force in longer, more drawn-out interactions. Conclusions: Our results appear to support existing theories for disproportionate use of force, though we caution restraint in generalizing our results. We find support only at our temporal level (TtF) and do not find support for the duration or severity of that force used. These temporal variables provide additional context toward better understanding and further contextualizing use of force by police.

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Section: Discussionmentioning

confidence: 99%

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Willits

Makin

2017

Journal of Research in Crime and Delinquency

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“…There are combinations of different methods that are used to evaluate the features. We also use image based approach contain SVM [4] and PCA [3] and neural network.…”

Section: Feature Analysismentioning

confidence: 99%

“…This makes submitted observation inefficient and unfeasible [2]. The way that barrier powers just discovered exercises of fear based oppressors from put away chronicles after attacks shows that present reconnaissance systems, which depends on manual checking, are neither reliable nor promising [3,4]. Henceforth, highly capable smart CCTV structure is the need of the hour.…”

Section: Introductionmentioning

confidence: 99%

Real Time Face Detection using CCTV Camera

2019

ijeat

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Closed Circuit Television i.e. CCTV are widely for security purposes getting the opportunity to be useful with time. Human face identification is one of major interests for this technology. In this paper, Human face is detection method is proposed with better accuracy and speed. This method can find wide use in this technological era as biometric identification is one of the best method of verification. In the proposed method divulgence of different facial parts, such as, Nose, Eyes & Mouth could be done effectively and rapidly, without being concerned of the light or illumination in the background of the person. For this we have used Ada Boost Algorithm through which quick and precise results have obtained that are far better than that of previous methods. The results presents critical improvement utilizing introduced technique over different past systems. It might be visible that proposed procedure is staggeringly able with basic spurring power in observation usage .This method find its extensive Human face detection capabilities for security purposes in identifying the person among the group of living or non-living objects.

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An Efficient Face Parts Detection Technique for CCTV Surveillance

Gupta

Chaudhary²

2017

2017 International Conference on Innovations in Control, Communication and Information Systems (ICICCI)

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Civilizing Surveillance Practices: The Pullman Police Department Public Safety Camera Monitoring Internship Program

Cited by 3 publications

References 41 publications

Show Me What Happened

Show Me What Happened

Real Time Face Detection using CCTV Camera

An Efficient Face Parts Detection Technique for CCTV Surveillance

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