Deep Learning Based Object Detection Combined with Internet of Things for Remote Surveillance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08071-5.pdf
Reference29 articles.
1. Zhao, Z. Q., Zheng, P., Xu, S. T., & Wu, X. (2019). Object detection with deep learning: A review. IEEE Transactions on Neural Networks and Learning Systems, 30(11), 3212–3232.
2. He, K., Zhang, X., Ren, S., & Sun, J. (2015). Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(9), 1904–1916.
3. Ren, Y., Huang, J., Hong, Z., Lu, W., Yin, J., Zou, L., & Shen, X. (2020). Image-based concrete crack detection in tunnels using deep fully convolutional networks. Construction and Building Materials, 234, 117367.
4. Feng, W., Ji, D., Wang, Y., Chang, S., Ren, H. & Gan, W. (2018). Challenges on large scale surveillance video analysis. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (pp. 69–76).
5. Zhang, R., Liu, X., Hu, J., Chang, K., & Liu, K. (2017). A fast method for moving object detection in video surveillance image. Signal, Image and Video Processing, 11(5), 841–848.
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multiscale Object Detection Using Adaptive Context Redetecting in Remote Sensing Systems;Sensors and Materials;2024-08-08
2. A Critical Study on Suspicious Object Detection with Images and Videos Using Machine Learning Techniques;SN Computer Science;2024-04-29
3. A Deep Learning Based Detection Algorithm for Anomalous Behaviour and Anomalous Item on Buses;2024-03-11
4. The Detection of Fast Moving Object Using Convolutional Neural Network of Optimized PSO Region;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
5. SDSCF Tracker: An improved deep learning-based approach to execute target tracking;2023-03-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3