NDLI: 3D Cameras Benchmark for Human Tracking in Hybrid Distributed Smart Camera Networks

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3D Cameras Benchmark for Human Tracking in Hybrid Distributed Smart Camera Networks

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3D Cameras Benchmark for Human Tracking in Hybrid Distributed Smart Camera Networks

Content Provider	ACM Digital Library
Author	Bouaziz, Samir Burbano, Andres Vasiliu, Marius
Abstract	This article presents a comparison between the different types of depth sensors that are currently on the market after the unavailability of the PrimeSense technology. Several academic research projects in 3D computer vision use this sensor technology. In order to find a substitution to this camera in terms of quality and price, we developed a study of the available 3D geometric sensors that can be used in real-time and low-cost applications. This work is part of our SHuKB SDK for detecting and counting people in hybrid smart camera networks. Our main contribution pertains the quantitative and qualitative assessment of the accessible sensors on the market to improve products identification, close to our needs and provide feasible replacements. This objective intends to avoid the consequences of a sudden loss of sensor products, such as the PrimeSense sensor. This assessment is based on a set of properties and relevant features for people detection and sensing. We present the results of this study and provide an analysis of the different 3D sensors, along with our vision of their fields of application, focused on the smart camera networks and people tracking.
Starting Page	76
Ending Page	83
Page Count	8
File Format	PDF
ISBN	9781450347860
DOI	10.1145/2967413.2967431
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	3d sensing Stereo camera Human detection Smart camera network Depth images
Content Type	Text
Resource Type	Article

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