Human Violence Recognition in Video Surveillance in Real-Time
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28073-3_52
Reference33 articles.
1. Gao, Y., Liu, H., Sun, X., Wang, C., Liu, Y.: Violence detection using oriented violent flows. Image Vis. Comput. 48–49(2015), 37–41 (2016). https://doi.org/10.1016/j.imavis.2016.01.006
2. Deniz, O., Serrano, I., Bueno, G., Kim, T.K.: Fast violence detection in video. In: VISAPP 2014 - Proceedings 9th International Conference on Computer Vision Theory Applications, vol. 2, December 2014, pp. 478–485 (2014). https://doi.org/10.5220/0004695104780485
3. Bilinski, P.: Human violence recognition and detection in surveillance videos, pp. 30–36 (2016). https://doi.org/10.1109/AVSS.2016.7738019
4. Zhang, T., Jia, W., He, X., Yang, J.: Discriminative dictionary learning with motion weber local descriptor for violence detection. IEEE Trans. Circuits Syst. Video Technol. 27(3), 696–709 (2017)
5. Deb, T., Arman, A., Firoze, A.: Machine cognition of violence in videos using novel outlier-resistant VLAD. In: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 989–994 (2018)
Cited by 5 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. Efficiently adapting large pre-trained models for real-time violence recognition in smart city surveillance;Journal of Real-Time Image Processing;2024-06-15
2. An end-to-end framework for real-time violent behavior detection based on 2D CNNs;Journal of Real-Time Image Processing;2024-03-25
3. Efficient Human Violence Recognition for Surveillance in Real Time;Sensors;2024-01-20
4. An Efficient Violence Detection Approach for Smart Cities Surveillance System;2023 IEEE International Smart Cities Conference (ISC2);2023-09-24
5. Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection;Computers;2023-09-05
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