DeepAI AI Chat
Log In Sign Up

Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning

04/15/2021
by   Boyang Wan, et al.
0

Anomaly detection in surveillance videos is a challenging task due to the diversity of anomalous video content and duration. In this paper, we consider video anomaly detection as a regression problem with respect to anomaly scores of video clips under weak supervision. Hence, we propose an anomaly detection framework, called Anomaly Regression Net (AR-Net), which only requires video-level labels in training stage. Further, to learn discriminative features for anomaly detection, we design a dynamic multiple-instance learning loss and a center loss for the proposed AR-Net. The former is used to enlarge the inter-class distance between anomalous and normal instances, while the latter is proposed to reduce the intra-class distance of normal instances. Comprehensive experiments are performed on a challenging benchmark: ShanghaiTech. Our method yields a new state-of-the-art result for video anomaly detection on ShanghaiTech dataset

READ FULL TEXT
03/25/2022

Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos

Formulating learning systems for the detection of real-world anomalous e...
04/14/2021

Global Information Guided Video Anomaly Detection

Video anomaly detection (VAD) is currently a challenging task due to the...
07/03/2020

Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding

In this paper, we propose a weakly supervised deep temporal encoding-dec...
08/29/2018

AAD: Adaptive Anomaly Detection through traffic surveillance videos

Anomaly detection through video analysis is of great importance to detec...
07/18/2020

DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection

One pivot challenge for image anomaly (AD) detection is to learn discrim...
08/11/2022

Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection

Video anomaly detection is recently formulated as a multiple instance le...
03/21/2021

A Modular and Unified Framework for Detecting and Localizing Video Anomalies

Anomaly detection in videos has been attracting an increasing amount of ...