Smart City Gnosys

Smart city article details

Title	Enhance Public Safety Surveillance In Smart Cities By Fusing Optical And Thermal Cameras
ID_Doc	23586
Authors	Poredi N.; Chen Y.; Li X.; Blasch E.
Year	2023
Published	2023 26th International Conference on Information Fusion, FUSION 2023
DOI	http://dx.doi.org/10.23919/FUSION52260.2023.10224117
Abstract	The recent advancements in the Internet of Video Things (IoVT) and Edge-Fog-Cloud Computing paradigm make smart public safety surveillance (SPSS) a realistic solution for an effective public safety service in smart cities. Typically, a fully functional SPSS system requires multiple sensory inputs for situational awareness (SAW). As an essential component in the context of highly complex, dynamic, and heterogeneous smart city operations, SPSS is expected to be environment-resilient. Personal safety is among the top concerns of the residents in smart cities, and correspondingly pedestrian detectors are critical. Contemporary pedestrian detectors use optical cameras, whose accuracy is diminished in low-light environments, and they are rendered ineffective when obstacles block the direct line of sight to the camera. Complementary imaging sensors such as infrared have shown promise. This paper presents a full-spectrum, environment-resilient surveillance platform as an ultimate solution, which consists of multiple imaging units to cover a wide sensing spectrum. The initial hybrid pedestrian detection (HYPE) scheme is based on the fusion of data obtained from an IoVT network equipped with optical and thermal cameras. We demonstrate that training the YOLOv5 object detection model on a dataset of infrared images improves its accuracy in the detection of humans present in thermal surveillance images. A 41% decrease in objectness loss is achieved after transfer learning is performed. © 2023 International Society of Information Fusion.
Author Keywords	Data Fusion; Deep Learning; Human Object Detection; Hybrid Thermal-Optical Cameras; Smart Public Safety

Similar Articles

Id	Similarity	Authors	Title	Published
57234	0.88	Gade, R; Moeslund, TB; Nielsen, SZ; Skov-Petersen, H; Andersen, HJ; Basselbjerg, K; Dam, HT; Jensen, OB; Jorgensen, A; Lahrmann, H; Madsen, TKO; Bala, ES; Povey, BO	Thermal Imaging Systems For Real-Time Applications In Smart Cities	INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 53, 4 (2016)
58829	0.875	Kashyap Pargi M.; Abraham A.; Chandra Nagavarapu S.	Transforming Public Safety And Qol In Smart Cities: Automated Event Detection And Response Generation With Ai And Iot	Lecture Notes in Intelligent Transportation and Infrastructure, Part F99 (2025)
5203	0.873	Myagmar-Ochir Y.; Kim W.	A Survey Of Video Surveillance Systems In Smart City	Electronics (Switzerland), 12, 17 (2023)
53029	0.868	Beevi L.S.; Nehru V.; Joe Prathap P.M.; Dani W.V.	Step-Wise Working Status For Next-Generation Smart Cities: Integrating Fog And Edge Computing Solutions	Proceedings of International Conference on Visual Analytics and Data Visualization, ICVADV 2025 (2025)
62125	0.865	Song F.; Li P.	Yolov5-Ms: Real-Time Multi-Surveillance Pedestrian Target Detection Model For Smart Cities	Biomimetics, 8, 6 (2023)
61111	0.864	Sharma H.; Kanwal N.	Video Surveillance In Smart Cities: Current Status, Challenges & Future Directions	Multimedia Tools and Applications, 84, 16 (2025)
15067	0.863	Hasan M.; Alavee K.A.; Bin Bashar S.Z.; Rahman M.T.; Hossain M.I.; Rabiul Alam M.G.	Comparative Study Of Object Detection Models For Safety In Autonomous Vehicles, Homes, And Roads Using Iot Devices	Proceedings of the 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2023 (2023)
22735	0.86	Thota M.K.; Prathibhava; Gujja S.; Venugopal D.R.	Emergency Vehicle Detection Using Iot In Smart Cities	2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023 (2023)
31713	0.86	Arul S.; Kavitha P.; Kamalakkannan S.	Innovative Solutions For Sustainable Iot In Smart City Infrastructure	Proceedings of the 5th International Conference on Smart Electronics and Communication, ICOSEC 2024 (2024)
47774	0.858	Mohan Kumar S.; Reddy E.G.; Chandramohan S.; Prabagar S.; Latha N.	Securing Pedestrian Crosswalks In Smart Cities: An Embedded Vision System For Pedestrian Detection And Safety Enhancement	2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023 (2023)