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Quantum automated object detection algorithm

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Quantum automated object detection algorithm. / Hu, L.; Ni, Q.
ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing. IEEE, 2019.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Hu, L & Ni, Q 2019, Quantum automated object detection algorithm. in ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing. IEEE. https://doi.org/10.23919/IConAC.2019.8895167

APA

Hu, L., & Ni, Q. (2019). Quantum automated object detection algorithm. In ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing IEEE. https://doi.org/10.23919/IConAC.2019.8895167

Vancouver

Hu L, Ni Q. Quantum automated object detection algorithm. In ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing. IEEE. 2019 doi: 10.23919/IConAC.2019.8895167

Author

Hu, L. ; Ni, Q. / Quantum automated object detection algorithm. ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing. IEEE, 2019.

Bibtex

@inproceedings{18905b2bfb45493e82197641eef4ea80,
title = "Quantum automated object detection algorithm",
abstract = "Automated object detection algorithm is an important research challenge in many applications such as computer vision and urban surveillance systems. Recently, quantum computing and information processing become emerging technologies which attract researchers' increasing attention and some work has been attempted in image detection using quantum computing approach. In this paper, we propose a novel quantum automated object detection algorithm for urban surveillance systems. This novel quantum based method is shown to be capable of detecting an object in images accurately and is able to deal with the measurement errors caused by the quantum measurements in the image retrieving process.",
keywords = "Automated object detection, urban surveillance systems, quantum image, quantum computing",
author = "L. Hu and Q. Ni",
note = "{\textcopyright}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2019",
month = nov,
day = "11",
doi = "10.23919/IConAC.2019.8895167",
language = "English",
isbn = "9781728125183",
booktitle = "ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Quantum automated object detection algorithm

AU - Hu, L.

AU - Ni, Q.

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/11/11

Y1 - 2019/11/11

N2 - Automated object detection algorithm is an important research challenge in many applications such as computer vision and urban surveillance systems. Recently, quantum computing and information processing become emerging technologies which attract researchers' increasing attention and some work has been attempted in image detection using quantum computing approach. In this paper, we propose a novel quantum automated object detection algorithm for urban surveillance systems. This novel quantum based method is shown to be capable of detecting an object in images accurately and is able to deal with the measurement errors caused by the quantum measurements in the image retrieving process.

AB - Automated object detection algorithm is an important research challenge in many applications such as computer vision and urban surveillance systems. Recently, quantum computing and information processing become emerging technologies which attract researchers' increasing attention and some work has been attempted in image detection using quantum computing approach. In this paper, we propose a novel quantum automated object detection algorithm for urban surveillance systems. This novel quantum based method is shown to be capable of detecting an object in images accurately and is able to deal with the measurement errors caused by the quantum measurements in the image retrieving process.

KW - Automated object detection

KW - urban surveillance systems

KW - quantum image

KW - quantum computing

U2 - 10.23919/IConAC.2019.8895167

DO - 10.23919/IConAC.2019.8895167

M3 - Conference contribution/Paper

SN - 9781728125183

BT - ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing

PB - IEEE

ER -