Static object detection for video surveillance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14696-4.pdf
Reference28 articles.
1. Ammar S, Bouwmans T, Zaghden N, Neji M (2019) Moving objects segmentation based on deepsphere in video surveillance. In International Symposium on Visual Computing, pp. 307–319. Springer, Cham
2. Aradhya, HV Ravish (2019) Object detection and tracking using deep learning and artificial intelligence for video surveillance applications. Int J Adv Comput Sci Appl 10(12)
3. Chen K, Franko K, Sang R (2021) Structured model pruning of convolutional networks on tensor processing units
4. Din M, Bashir A, Basit A, Lakho S (2020) Abandoned object detection using frame differencing and background subtraction. Int J Adv Comput Sci Appl 11(7)
5. Dwivedi N, Singh DK, Kushwaha DS (2020) An approach for unattended object detection through contour formation using background subtraction. Procedia Computer Science 171:1979–1988
Cited by 3 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. Abandoned Object Detection and Classification Using Deep Embedded Vision;IEEE Access;2024
2. Dual Temporal Differencing for Real-Time Abandoned Object Detection;2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP);2023-12-01
3. A Review On: Automated Surveillance System;2023 IEEE Engineering Informatics;2023-11-22
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