Abnormal Event Detection In Video
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Benchmarks
UBI-Fights
UCSD Ped2
Most implemented
Real-world Anomaly Detection in Surveillance Videos
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
An Attribute-based Method for Video Anomaly Detection
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Learning Temporal Regularity in Video Sequences
Normalizing Flows for Human Pose Anomaly Detection
Papers
An Attribute-based Method for Video Anomaly Detection
Video anomaly detection (VAD) identifies suspicious events in videos, which is critical for crime prevention and homeland security. In this paper, we propose a simple but highly effective VAD method that relies on attrib…
Abnormal Event Detection In VideoAnomaly DetectionAttributeDensity Estimation+1Normalizing Flows for Human Pose Anomaly Detection
Video anomaly detection is an ill-posed problem because it relies on many parameters such as appearance, pose, camera angle, background, and more. We distill the problem to anomaly detection of human pose, thus decreasin…
Abnormal Event Detection In VideoAnomaly DetectionAnomaly Detection In Surveillance VideosPose Estimation+2A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection
Abnormal event detection in video is alternatively known as outlier detection, where machine learning can be highly effective. While testing an unknown video, the objective of such methods is to verify the video’s catego…
Abnormal Event Detection In VideoAnomaly DetectionAnomaly Detection In Surveillance VideosEvent Detection+3Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Video anomaly detection (VAD) mainly refers to identifying anomalous events that have not occurred in the training set where only normal samples are available. Existing works usually formulate VAD as a reconstruction or …
Abnormal Event Detection In VideoVideo Anomaly DetectionIterative weak/self-supervised classification framework for abnormal events detection
The detection of abnormal events in surveillance footage remains a challenge and has been the scope of various research works. Having observed that the state-of-the-art performance is still unsatisfactory, this paper pro…
Abnormal Event Detection In VideoAnomaly DetectionAnomaly Detection In Surveillance VideosClassification+7Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly detection in video is a challenging computer vision problem. Due to the lack of anomalous events at training time, anomaly detection requires the design of learning methods without full supervision. In this paper…
Abnormal Event Detection In VideoAnomaly DetectionAnomaly Detection In Surveillance VideosEvent Detection+3