Application research of image signal processing based on deep learning in security monitoring
Xintian Wang
Xi’an FanYi University
DOI: https://doi.org/10.59429/esta.v12i1.9646
Keywords: Deep learning; Image signal processing;security monitoring; Target detection; Behavior recognition
Abstract
With the growing demand for security monitoring, traditional image signal processing methods are facing challenges in terms of accuracy and efficiency. The development of deep learning technology has brought new opportunities for the application of image signal processing in security monitoring. This paper deeply studies the application of deep learning in signal processing of security monitoring images, including target detection, behavior recognition, image enhancement and so on. This paper analyzes the advantages of deep learning algorithm in processing security monitoring images, such as adaptability to complex scenes and efficient processing of large amounts of data. At the same time, it also discusses the problems it faces, such as data privacy, computing resource consumption, etc., and looks forward to the future development trend.
References
[1] LIU Ming. The latest progress and application of deep Learning technology in image recognition [J]. Information Technology Research, 2021, 18(4): 23-29.
[2] Wang Hua. Deep Learning Strategy for image signal Processing in security monitoring system [D]. Shanghai Jiao Tong University, 2022.
[3] ZHANG Wei. Design and Implementation of Intelligent Video Surveillance System Based on Deep Learning [J]. Journal of Intelligent Science and Technology, 2023, 5(1): 45-52.
[4] Li Na. Object Detection and Tracking of Deep Learning Algorithm in Complex environment [C]. China Computer Society Multimedia Technology Conference, 2021.
[5] ZHAO Lei. Research on Deep Learning Model Optimization and Application in image signal processing [J]. Signal Processing, 2024, 30(2): 67-74.