Author(s)

Jie Yang ¹, Wenzhun Huang ¹

Affiliation(s)

¹ School of Electroinc Information, Xijing University, Xi'an, China

Corresponding Author

Wenzhun Huang

ABSTRACT

A infrared pedestrian and vehicle target detection method based on an improved YOLOv5s model is proposed to address the issues of false alarms and missed detections caused by small pedestrian and vehicle targets, occlusion, and low visibility in nighttime driving and complex environments. To address the issue of missed detection of small targets, a small target detection layer is introduced, which increases the three detection layers of the original model to four layers to better handle the detection problem of small-sized targets; The SIoU loss function has been introduced to improve the accuracy of multi-scale object detection, allowing the model to better process different types of targets separately, enhancing the flexibility and generalization ability of the model; At the same time, in response to the contradiction between different tasks of the model, which leads to low pedestrian and vehicle detection accuracy and slow convergence speed, a decoupling head is introduced in the YOLOv5s head to improve the model detection accuracy and positioning speed; Experiments were conducted on the FLIR dataset, and the results showed that the improved YOLOv5s model algorithm increased Precision by 1.6% compared to the original YOLOv5s model algorithm, with Recall and mAP @ 0 5 and mAP @ 0 5: 0 95% has increased by 3.4%, 2.3%, and 5.2%, reaching 90.0%, 88.2%, 93.9%, and 58.9%, respectively.

KEYWORDS

Object detection, Infrared scene, YOLOv5s model, Small goals, Obscure the target, SIoU loss function, Decoupling head

CITE THIS PAPER

Jie Yang, Wenzhun Huang, Pedestrian and vehicle detection method in infrared scene based on improved YOLOv5s model. Automation and Machine Learning (2024) Vol. 5: 90-96. DOI: http://dx.doi.org/10.23977/autml.2024.050111.

REFERENCES

[1] Jiaxiang Q, Ziming W, Yimin H.An embedded device-oriented fatigue driving detection method based on a YOLOv5s [J].Neural Computing and Applications, 2023, 36(7):3711-3723.
[2] Yu C, Shin Y.SAR ship detection based on improved YOLOv5 and BiFPN [J].ICT Express, 2024, 10(1):28-33.
[3] Jun X, Renjie G, Yuanpei Z, et al.Carbonate Rock Fracture Identification Method Based on an Improved YOLOv5 Algorithm[J].Pure and Applied Geophysics, 2024, 181(1):189-201.
[4] Kyedong L, Sik K P.Deep Learning Model Analysis of Drone Images for Unauthorized Occupancy Detection of River Site [J].Journal of Coastal Research, 2024, 116(sp1):284-288.
[5] Xing B, Sun M, Ding M, et al.Fish sonar image recognition algorithm based on improved YOLOv5.[J].Mathematical biosciences and engineering : MBE, 2024, 21(1):1321-1341.
[6] L. L M, L. Z, X. C, et al.Research on surface defect detection method of metallurgical saw blade based on YOLOV5[J].Metalurgija, 2024, 63(1):121-124.
[7] Yanru F, Yuliang C, Huijun Y.A detection algorithm based on improved YOLOv5 for coarse-fine variety fruits [J].Journal of Food Measurement and Characterization, 2023, 18(2):1338-1354.
[8] Ziwei W, Yi H, Jianxiang D, et al. YOLOv5-Based Seabed Sediment Recognition Method for Side-Scan Sonar Imagery [J]. Journal of Ocean University of China, 2023, 22(6):1529-1540.
[9] Luxuan B, Bo L, Jue W, et al.Multi-branch stacking remote sensing image target detection based on YOLOv5[J].The Egyptian Journal of Remote Sensing and Space Sciences, 2023, 26(4):999-1008.
[10] Yunfeng J, Zhizhan L, Ruili W.Research on lightweight pedestrian detection based on improved YOLOv5[J]. Mathematical Models in Engineering, 2023, 9(4):178-187.

Sponsors, Associates, and Links

---

• Power Systems Computation
  
  
• Internet of Things (IoT) and Engineering Applications
  
  
• Computing, Performance and Communication Systems
  
  
• Journal of Artificial Intelligence Practice
  
  
• Advances in Computer, Signals and Systems
  
  
• Journal of Network Computing and Applications
  
  
• Journal of Web Systems and Applications
  
  
• Journal of Electrotechnology, Electrical Engineering and Management
  
  
• Journal of Wireless Sensors and Sensor Networks
  
  
• Journal of Image Processing Theory and Applications
  
  
• Mobile Computing and Networking
  
  
• Vehicle Power and Propulsion
  
  
• Frontiers in Computer Vision and Pattern Recognition
  
  
• Knowledge Discovery and Data Mining Letters
  
  
• Big Data Analysis and Cloud Computing
  
  
• Electrical Insulation and Dielectrics
  
  
• Crypto and Information Security
  
  
• Journal of Neural Information Processing
  
  
• Collaborative and Social Computing
  
  
• International Journal of Network and Communication Technology
  
  
• File and Storage Technologies
  
  
• Frontiers in Genetic and Evolutionary Computation
  
  
• Optical Network Design and Modeling
  
  
• Journal of Virtual Reality and Artificial Intelligence
  
  
• Natural Language Processing and Speech Recognition
  
  
• Journal of High-Voltage
  
  
• Programming Languages and Operating Systems
  
  
• Visual Communications and Image Processing
  
  
• Journal of Systems Analysis and Integration
  
  
• Knowledge Representation and Automated Reasoning
  
  
• Review of Information Display Techniques
  
  
• Data and Knowledge Engineering
  
  
• Journal of Database Systems
  
  
• Journal of Cluster and Grid Computing
  
  
• Cloud and Service-Oriented Computing
  
  
• Journal of Networking, Architecture and Storage
  
  
• Journal of Software Engineering and Metrics
  
  
• Visualization Techniques
  
  
• Journal of Parallel and Distributed Processing
  
  
• Journal of Modeling, Analysis and Simulation
  
  
• Journal of Privacy, Trust and Security
  
  
• Journal of Cognitive Informatics and Cognitive Computing
  
  
• Lecture Notes on Wireless Networks and Communications
  
  
• International Journal of Computer and Communications Security
  
  
• Journal of Multimedia Techniques
  
  
• Computational Linguistics Letters
  
  
• Journal of Computer Architecture and Design
  
  
• Journal of Ubiquitous and Future Networks