Aug 27, 2020 · Our framework is composed of an object detector, a set of appearance and motion auto-encoders, and a set of classifiers. Since our framework ...

Following the standard formulation of abnormal event detection as outlier detection, we propose a background-agnostic framework that learns from training videos ...

This is the official repository of A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video.

Aug 4, 2022 · We propose a novel framework that leverages adver- sarial training in the context of abnormal event detection in video. We show that our ...

A background-agnostic framework that learns from training videos containing only normal events, and provides region-based and track-based annotations for ...

Since our framework only looks at object detections, it can be applied to different scenes, provided that normal events are defined identically across scenes ...

View recent discussion. Abstract: Abnormal event detection in video is a complex computer vision problem that has attracted significant attention in recent ...

2. Background-Agnostic Framework. 98.7%. A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video ; 3. SSMTL. 97.5%.

Aug 31, 2020 · Following the standard formulation of abnormal event detection as outlier detection, we propose a scene-agnostic framework that learns from ...

A scene-agnostic framework that learns from training videos containing only normal events, composed of an object detector, a set of appearance and motion ...