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

Published: 12 September 2016 Publication History

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.

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  • (2020)Intel® RealSense™ SR300 Coded Light Depth CameraIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2019.291584142:10(2333-2345)Online publication date: 1-Oct-2020
  • (2019)A Comparison of Indoor Positioning Systems for Access Control Using Virtual PerimetersFourth International Congress on Information and Communication Technology10.1007/978-981-15-0637-6_24(293-302)Online publication date: 1-Dec-2019
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cover image ACM Other conferences
ICDSC '16: Proceedings of the 10th International Conference on Distributed Smart Camera
September 2016
242 pages
ISBN:9781450347860
DOI:10.1145/2967413
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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Author Tags

  1. 3D Sensing
  2. Depth images
  3. Human Detection
  4. Smart Camera Network
  5. Stereo camera

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ICDSC '16

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Overall Acceptance Rate 92 of 117 submissions, 79%

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Cited By

View all
  • (2021)Computer-Assisted Surgery: Virtual- and Augmented-Reality Displays for Navigation During Planning and Performing Surgery on Large JointsPharmacophore10.51847/50jmUfdufI12:2(32-38)Online publication date: 2021
  • (2020)Intel® RealSense™ SR300 Coded Light Depth CameraIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2019.291584142:10(2333-2345)Online publication date: 1-Oct-2020
  • (2019)A Comparison of Indoor Positioning Systems for Access Control Using Virtual PerimetersFourth International Congress on Information and Communication Technology10.1007/978-981-15-0637-6_24(293-302)Online publication date: 1-Dec-2019
  • (2017)3D reconstruction in orbital proximity operations2017 IEEE Aerospace Conference10.1109/AERO.2017.7943679(1-10)Online publication date: Mar-2017
  • (2016)3D-Sensing Distributed Embedded System for the Study of Human Kinetic BehaviorProceedings of the 10th International Conference on Distributed Smart Camera10.1145/2967413.2974032(220-221)Online publication date: 12-Sep-2016

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