Video anomaly detection and localization by local motion based joint video representation and OCELM

S Wang, E Zhu, J Yin, F Porikli - Neurocomputing, 2018 - Elsevier
… and explosive growth of video data. This paper proposes a novel approach to detect and
localize video anomalies automatically. For video feature extraction, video volumes are jointly …

Video anomaly detection and localization based on an adaptive intra-frame classification network

K Xu, T Sun, X Jiang - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
anomaly detection and localization. It concentrates on three issues. 1) How to build an
end-to-end network for anomaly detection and localization … for anomaly detection and localization. …

Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression

KW Cheng, YT Chen, WH Fang - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
… as a 3D pattern matching problem, we are more interested in global anomalydetect local
and global anomalies, we formulate the extraction of normal interactions from training video as …

Video anomaly detection and localization based on appearance and motion models

Z Aziz, N Bhatti, H Mahmood, M Zia - Multimedia Tools and Applications, 2021 - Springer
… an approach to detect and localize anomalies in the surveillance videos. Precise detection,
detection and localization of anomalies. We propose appearance and motion models to …

Video anomaly detection and localization via gaussian mixture fully convolutional variational autoencoder

Y Fan, G Wen, D Li, S Qiu, MD Levine, F Xiao - Computer Vision and Image …, 2020 - Elsevier
… We present a novel end-to-end partially supervised deep learning approach for video
anomaly detection and localization using only normal samples. The insight that motivates this …

Gaussian process regression-based video anomaly detection and localization with hierarchical feature representation

KW Cheng, YT Chen, WH Fang - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
… the anomaly localization. In light of this, this section proposes a consistent localization
The consistent localization can be formulated as solving a constrained optimization problem…

Video anomaly detection and localization using motion-field shape description and homogeneity testing

X Zhang, S Yang, J Zhang, W Zhang - Pattern Recognition, 2020 - Elsevier
… The contribution of this paper is two-fold: (1) The representation of video contents is one
key issue for anomaly detection. We transfer the problem into shape description on short-term …

Real-time anomaly detection and localization in crowded scenes

M Sabokrou, M Fathy, M Hoseini… - Proceedings of the IEEE …, 2015 - cv-foundation.org
anomaly detection and localization method. In our method, we propose to represent a video
… two classifiers achieves accurate and reliable anomaly detection and localization. However, …

An efficient subsequence search for video anomaly detection and localization

KW Cheng, YT Chen, WH Fang - Multimedia Tools and Applications, 2016 - Springer
… for anomaly event detection and localization in crowded scenes. For anomaly detection,
one-class support vector machine with Bayesian derivation is applied to detect unusual events. …

Dynamic video anomaly detection and localization using sparse denoising autoencoders

MG Narasimhan - Multimedia Tools and Applications, 2018 - Springer
… a test video as an anomaly if it … of detecting and localizing anomalies in videos is proposed.
Our primary goal is to develop a robust anomaly detection system for crowded scene videos. …