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Computer graphics / Learning / AdaBoost / Boosting / Decision stump / Face detection / Visual privacy / Pixel / Image resolution / Image processing / Ensemble learning / Artificial intelligence


Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, and Ken Goldberg Abstract To address privacy concerns regarding d
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Document Date: 2008-10-24 20:13:34


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File Size: 1,72 MB

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City

New York / Pixel / Chicago / /

Company

Neural Networks / Panasonic / Google / /

Country

United States / United Kingdom / /

Currency

USD / /

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Facility

University of California Berkeley / /

IndustryTerm

post-processing step / construction site / iterative algorithm / online marker tracking / Surveillance technologies / real-time applications / Online Detector / online marker detection / online phases / private applications / classification algorithm / privacy systems / dmulligan@law.berkeley.edu / surveillance systems / large-scale government-run security systems / camera systems / computer processing / car tracking / public relations purposes / /

Organization

University of California / Department of EECS / Shankar Sastry Faculty / National Science Foundation / Jeremy Schiff Department of EECS / Ken Goldberg Faculty of Departments of EECS / School of Information / Deirdre K. Mulligan Faculty / IEOR / Marci Meingast Department of EECS / /

Person

Deirdre K. Mulligan / Shankar Sastry / Ken Goldberg / Marci Meingast / Jeremy Schiff / /

Position

supervisor / representative / corresponding human head / /

Product

Probabilistic AdaBoost / System Our / Particle Filtering / AdaBoost / /

Technology

Surveillance technologies / machine learning / classification algorithm / digital video / AdaBoost algorithm / Learning algorithms / iterative algorithm / /

URL

http /

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