Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions

31 December 2022

Papers citing "Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions"

8 / 8 papers shown

Title
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Xiaofeng Tan Hongsong Wang Xin Geng Liang Wang DiffM AAML VGen 84 0 0 04 Dec 2024
Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Youwei Zhou Tianyang Xu Cong Wu Xiaojun Wu J. Kittler 3DH 68 0 0 22 Nov 2024
Privacy-Preserving Video Anomaly Detection: A Survey J. H. Liu Y. Liu Xiaoguang Zhu 90 1 0 21 Nov 2024
Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection Chenglizhao Chen Xinyu Liu Mengke Song Luming Li Xu Yu Shanchen Pang 23 0 0 05 Sep 2024
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection Ali Karami Thi Kieu Khanh Ho Narges Armanfard DiffM 19 4 0 18 Mar 2024
Advancing Video Anomaly Detection: A Concise Review and a New Dataset Liyun Zhu Lei Wang Arjun Raj Tom Gedeon Chen Chen 21 12 0 07 Feb 2024
Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder Tengjiao He Wenguang Wang 3DPC 6 1 0 04 Jun 2023
Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features Fumiaki Sato Ryo Hachiuma Taiki Sekii 31 14 0 27 Mar 2023