Quantum automated object detection algorithm

Hu, L. and Ni, Q. (2019) Quantum automated object detection algorithm. In: ICAC 2019 - 2019 25th IEEE International Conference on Automation and Computing :. IEEE. ISBN 9781728125183

[thumbnail of Final author version]
Text (Final author version)
Final_author_version.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (616kB)


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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©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.
?? automated object detectionurban surveillance systemsquantum imagequantum computing ??
ID Code:
Deposited By:
Deposited On:
17 Dec 2019 11:40
Last Modified:
19 Mar 2024 00:14