Featured Paper

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety
Authors: Maria Tzelepi and Anastasios Tefas
Publication: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
Issue: Volume 5, Issue 2 – April 2021
Pages: 191-204

Abstract: In this paper, we propose a novel human crowd detection method that uses deep convolutional neural networks for drone flight safety purposes. The first contribution of this paper is to provide lightweight architectures, as restricted by the computational capacity of the specific application, capable of effectively distinguishing between crowded and non-crowded scenes from drone-captured images, and provide crowd heatmaps which can be used to semantically enrich the flight maps by defining no-fly zones. The second contribution of this paper is to propose a novel generic regularization technique, based on the graph embedding framework, applicable to different deep architectures for generic classification problems. The experimental validation is performed on a new dataset constructed for the task of human crowd detection from drone-captured images, and indicates the effectiveness of the proposed detector, as well as of the proposed regularizers in terms of classification accuracy. Finally, since the proposed regularization scheme is applicable in generic classification problems, we have also conducted experiments on two additional datasets, where the enhanced performance of the regularizers is also validated.

Index Terms: Drones, crowd detection, deep learning, regularization, graph embedding, convolutional neural networks
IEEE Xplore Link: https://ieeexplore.ieee.org/document/8657776

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IEEE TETCI Special Issue on "Computational Intelligence in Mental Health," Guest Editors: Jing Han (University of Cambridge, UK); Dongrui Wu (Huazhong University of Science and Technology, China); Guang Yang (Imperial College London, UK); Yinping Yang (Institute of High Performance Computing, A*STAR, Singapore); Björn W. Schuller (University of Augsburg, Germany). Submission Deadline: August 1, 2023. [Call for Papers]

IEEE TETCI Special Issue on "Data and Knowledge-assisted Evolutionary Computation," Guest Editors: Chaoli Sun (Taiyuan University of Science and Technology, China); Handing Wang (Xidian University, China); Yaochu Jin (Bielefeld University, Germany); Bing Xue (Victoria University of Wellington, New Zealand). Submission Deadline: July 31, 2023. [Call for Papers] 

IEEE TETCI Special Issue on "Quantum Computing meets Computational Intelligence: A New Vision for Smart Systems," Guest Editors: Giovanni Acampora (University of Naples Federico II, Italy); Autilia Vitiello (University of Naples Federico II, Italy); Rebing Wu (Tsinghua University, China); Gary Yen (Oklahoma State University, USA); Bing Xue (Victoria University of Wellington, New Zealand). Submission Deadline: December 20, 2023. [Call for Papers]

IEEE TETCI Special Issue on "Advances in Methodologies for Metaheuristic Algorithms," Guest Editors: Carlos Artemio Coello Coello (CINVESTAV-IPN, Mexico); Abhishek Gupta (Indian Institute of Technology, Goa, India); Heike Trautmann (University of Münster, Germany/ University of Twente, Netherlands); Weng Kee Wong (UCLA, USA). Submission Deadline: December 31, 2023. [Call for Papers]

IEEE Transactions on Emerging Topics in Computational Intelligence publishes special issues on emerging topics guest edited by distinguished researchers in computational intelligence. Here is some information about how a special issue is organized.

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Current Special Issues

1. Deep Reinforcement Learning for Optimization: Methods and Application [Call for Papers]
2. Trusted Mobile Crowdsourcing for Next Generation Intelligent Transportation Systems
3. Resource Sustainable Computational and Artificial Intelligence
4. Computational Intelligence in Mental Health
   • Call for Papers
   • Deadline for Paper Submission: 1 August, 2023
5. Data and Knowledge-assisted Evolutionary Computation
   • Call for Papers
   • Deadline for Paper Submission: 31 July, 2023
6. Quantum Computing meets Computational Intelligence: A New Vision for Smart Systems
   • Call for Papers
   • Deadline for Paper Submission: 20 December 2023
7. Advances in Methodologies for Metaheuristic Algorithms
   • Call for Papers
   • Deadline for Paper Submission: 31 December 2023

Published Special Issues

1. Emerging Computational Intelligence Techniques to address Challenges in Biomedical Data and Imaging [Volume 7, Issue 2 | Editorial]
2. Explainable Deep Learning for Medical Image Processing and Analysis (XDLMIPA) [ Volume 7, Issue 1 | Editorial]
3. Computational Intelligence to Edge AI for Ubiquitous IoT Systems [ Volume 7, Issue 1 | Editorial]
4. Computational Intelligence for Human-in-the-Loop Cyber Physical Systems  [Volume 6, Issue 1 | Editorial]
5. Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments [Volume 5, Issue 1 | Editorial]
6. Privacy and Security in Computational Intelligence [Volume 4, Issue 5 | Editorial]
7. Adversarial Learning in Computational Intelligence [Volume 4, Issue 4 | Editorial]
8. Big Data and Computational Intelligence for Agile Wireless IoT [Volume 4, Issue 3 | Editorial]
9. Computational Intelligence for Communications and Sensing [Volume 4, Issue 1 | Editorial]
10. New Advances in Deep-Transfer Learning [Volume 3, Issue 5 | Editorial]
11. Computational Intelligence for Smart Energy Applications to Smart Cities [Volume 3, Issue 3 | Editorial]
12. Computational Intelligence in Data-Driven Optimization [Volume 3, Issue 2 | Editorial]
13. New Trends in Smart Chips and Smart Hardware [Volume 3, Issue 1 | Editorial]
14. Large-scale Memristive Systems and Neurochips for Computational Intelligence [Volume 2, Issue 5 | Editorial]
15. Human-Machine Symbiosis [Volume 2, Issue 4 | Editorial]
16. Data Driven Computational Intelligence for e-Governance, Socio Political and Economic Systems [Volume 2, Issue 3 | Editorial]
17. Computational Intelligence for End-to-End Audio Processing [Volume 2, Issue 2 | Editorial]
18. Computational Intelligence for Cloud Computing [Volume 2, Issue 1 | Editorial]
19. Emergent Topics in Artificial Immune Systems [Volume 1, Issue 4 | Editorial]
20. Computational Intelligence for Software Engineering and Services Computing [Volume 1, Issue 3 | Editorial]