Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Towards Surveillance Video-and-Language Understanding: New Dataset Baselines and Challenges
Surveillance videos are important for public security. However current surveillance video
tasks mainly focus on classifying and localizing anomalous events. Existing methods are …
tasks mainly focus on classifying and localizing anomalous events. Existing methods are …
Video Anomaly Detection in 10 Years: A Survey and Outlook
Video anomaly detection (VAD) holds immense importance across diverse domains such as
surveillance, healthcare, and environmental monitoring. While numerous surveys focus on …
surveillance, healthcare, and environmental monitoring. While numerous surveys focus on …
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection
Video anomaly detection in surveillance systems with only video-level labels (ie weakly
supervised) is challenging. This is due to (i) the complex integration of a large variety of …
supervised) is challenging. This is due to (i) the complex integration of a large variety of …
Suspicious activities detection using spatial–temporal features based on vision transformer and recurrent neural network
S Hameed, J Amin, MA Anjum, M Sharif - Journal of Ambient Intelligence …, 2024 - Springer
Nowadays there is growing demand for surveillance applications due to the safety and
security from anomalous events. An anomaly in the video is referred to as an event that has …
security from anomalous events. An anomaly in the video is referred to as an event that has …
Enhancing Surveillance Systems: Integration of Object, Behavior, and Space Information in Captions for Advanced Risk Assessment
M Jeon, J Ko, K Cheoi - Sensors, 2024 - mdpi.com
This paper presents a novel approach to risk assessment by incorporating image captioning
as a fundamental component to enhance the effectiveness of surveillance systems. The …
as a fundamental component to enhance the effectiveness of surveillance systems. The …
UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding
Surveillance videos are an essential component of daily life with various critical applications,
particularly in public security. However, current surveillance video tasks mainly focus on …
particularly in public security. However, current surveillance video tasks mainly focus on …
Caption-guided Interpretable Video Anomaly Detection Based on Memory Similarity
Y Shi, T Yamashita, T Hirakawa, H Fujiyoshi… - IEEE …, 2024 - ieeexplore.ieee.org
Most video anomaly detection approaches are based on non-semantic features, which are
not interpretable, and prevent the identification of anomaly causes. Therefore, we propose a …
not interpretable, and prevent the identification of anomaly causes. Therefore, we propose a …
MMVAD: A Vision-Language Model for Cross-Domain Video Anomaly Detection with Contrastive Learning and Scale-Adaptive Frame Segmentation
Abstract Video Anomaly Detection (VAD) is crucial for public safety and detecting
abnormalities in riskprone zones. Anomaly Detection from weakly-labeled datasets has …
abnormalities in riskprone zones. Anomaly Detection from weakly-labeled datasets has …
A Novel Image Captioning based Risk Assessment Model
MS Jeon, JP Ko, KJ Cheoi - The Journal of Information Systems, 2023 - koreascience.kr
Purpose We introduce a groundbreaking surveillance system explicitly designed to
overcome the limitations typically associated with conventional surveillance systems, which …
overcome the limitations typically associated with conventional surveillance systems, which …