RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications

Abbas Khan; Mustaqeem Khan; Wail Gueaieb; Abdulmotaleb El Saddik; Guilia De Masi; Fakhri Karray

doi:10.1109/ISC257844.2023.10293399

RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications

Abbas Khan
, Mustaqeem Khan
, Wail Gueaieb
, Abdulmotaleb El Saddik
, Guilia De Masi
, Fakhri Karray

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper introduces a novel method for detecting camouflaged objects in smart cities, termed Resource-Efficient Camouflaged Object Detection (RECOD). Detecting camouflaged objects is crucial for the proper functioning of various applications in smart cities, including traffic management, security surveillance, environmental monitoring, and infrastructure inspection. The proposed RECOD method is evaluated on four benchmark Camouflaged Object Detection datasets and a specialized image set of real-world camouflaged objects, demonstrating its potential to improve the efficiency of diverse real-world applications within the smart city context. Significantly, our study reveals that the proposed method not only achieves impressive results but a real-time performance of 70 FPS, rendering it well-suited for various real-world applications and potentially deployable on unmanned aerial vehicles. These findings indicate the significant utility of the RECOD method in detecting camouflaged objects and the potential to enhance the individual and overall functionality of smart cities.

Original language	English
Title of host publication	Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350397758
DOIs	https://doi.org/10.1109/ISC257844.2023.10293399
Publication status	Published - 2023
Externally published	Yes
Event	9th IEEE International Smart Cities Conference, ISC2 2023 - Bucharest, Romania Duration: Sept 24 2023 → Sept 27 2023

Publication series

Name	Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023

Conference

Conference	9th IEEE International Smart Cities Conference, ISC2 2023
Country/Territory	Romania
City	Bucharest
Period	9/24/23 → 9/27/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Camouflaged Object Detection
Smart Cities
Unmanned Aerial Vehicles

ASJC Scopus subject areas

Computer Science Applications
Artificial Intelligence
Computer Vision and Pattern Recognition
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Communication
Urban Studies

Access to Document

10.1109/ISC257844.2023.10293399

Cite this

Khan, A., Khan, M., Gueaieb, W., El Saddik, A., De Masi, G., & Karray, F. (2023). RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications. In Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 (Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC257844.2023.10293399

RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications. / Khan, Abbas; Khan, Mustaqeem; Gueaieb, Wail et al.
Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Khan, A, Khan, M, Gueaieb, W, El Saddik, A, De Masi, G & Karray, F 2023, RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications. in Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023. Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023, Institute of Electrical and Electronics Engineers Inc., 9th IEEE International Smart Cities Conference, ISC2 2023, Bucharest, Romania, 9/24/23. https://doi.org/10.1109/ISC257844.2023.10293399

Khan A, Khan M, Gueaieb W, El Saddik A, De Masi G, Karray F. RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications. In Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023). doi: 10.1109/ISC257844.2023.10293399

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title = "RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications",

abstract = "This paper introduces a novel method for detecting camouflaged objects in smart cities, termed Resource-Efficient Camouflaged Object Detection (RECOD). Detecting camouflaged objects is crucial for the proper functioning of various applications in smart cities, including traffic management, security surveillance, environmental monitoring, and infrastructure inspection. The proposed RECOD method is evaluated on four benchmark Camouflaged Object Detection datasets and a specialized image set of real-world camouflaged objects, demonstrating its potential to improve the efficiency of diverse real-world applications within the smart city context. Significantly, our study reveals that the proposed method not only achieves impressive results but a real-time performance of 70 FPS, rendering it well-suited for various real-world applications and potentially deployable on unmanned aerial vehicles. These findings indicate the significant utility of the RECOD method in detecting camouflaged objects and the potential to enhance the individual and overall functionality of smart cities.",

keywords = "Camouflaged Object Detection, Smart Cities, Unmanned Aerial Vehicles",

author = "Abbas Khan and Mustaqeem Khan and Wail Gueaieb and \{El Saddik\}, Abdulmotaleb and \{De Masi\}, Guilia and Fakhri Karray",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th IEEE International Smart Cities Conference, ISC2 2023 ; Conference date: 24-09-2023 Through 27-09-2023",

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doi = "10.1109/ISC257844.2023.10293399",

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T2 - 9th IEEE International Smart Cities Conference, ISC2 2023

AU - Khan, Abbas

AU - Khan, Mustaqeem

AU - Gueaieb, Wail

AU - El Saddik, Abdulmotaleb

AU - De Masi, Guilia

AU - Karray, Fakhri

PY - 2023

Y1 - 2023

N2 - This paper introduces a novel method for detecting camouflaged objects in smart cities, termed Resource-Efficient Camouflaged Object Detection (RECOD). Detecting camouflaged objects is crucial for the proper functioning of various applications in smart cities, including traffic management, security surveillance, environmental monitoring, and infrastructure inspection. The proposed RECOD method is evaluated on four benchmark Camouflaged Object Detection datasets and a specialized image set of real-world camouflaged objects, demonstrating its potential to improve the efficiency of diverse real-world applications within the smart city context. Significantly, our study reveals that the proposed method not only achieves impressive results but a real-time performance of 70 FPS, rendering it well-suited for various real-world applications and potentially deployable on unmanned aerial vehicles. These findings indicate the significant utility of the RECOD method in detecting camouflaged objects and the potential to enhance the individual and overall functionality of smart cities.

AB - This paper introduces a novel method for detecting camouflaged objects in smart cities, termed Resource-Efficient Camouflaged Object Detection (RECOD). Detecting camouflaged objects is crucial for the proper functioning of various applications in smart cities, including traffic management, security surveillance, environmental monitoring, and infrastructure inspection. The proposed RECOD method is evaluated on four benchmark Camouflaged Object Detection datasets and a specialized image set of real-world camouflaged objects, demonstrating its potential to improve the efficiency of diverse real-world applications within the smart city context. Significantly, our study reveals that the proposed method not only achieves impressive results but a real-time performance of 70 FPS, rendering it well-suited for various real-world applications and potentially deployable on unmanned aerial vehicles. These findings indicate the significant utility of the RECOD method in detecting camouflaged objects and the potential to enhance the individual and overall functionality of smart cities.

KW - Camouflaged Object Detection

KW - Smart Cities

KW - Unmanned Aerial Vehicles

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AN - SCOPUS:85178329643

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BT - Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

RECOD: Resource-Efficient Camouflaged Object Detection for UAV-Based Smart Cities Applications

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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