Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.044
Abstract: Abstract In this paper, we present a novel deep learning based method for video anomaly detection and localization. The key idea of our approach is that the latent space representations of normal samples are trained… read more here.
Keywords: multivariate gaussian; video; detection; video anomaly ... See more keywords
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.148
Abstract: Abstract This paper focus on analyzing graph connection of human joints for skeleton based video anomaly detection, which is more effective and efficient than those image-level reconstruction based or prediction based methods that may be… read more here.
Keywords: skeleton based; video anomaly; anomaly detection; based video ... See more keywords
Real-World Video Anomaly Detection by Extracting Salient Features in Videos
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224952
Abstract: We propose a lightweight and accurate method for detecting anomalies in videos. Existing methods used multiple-instance learning (MIL) to determine the normal/abnormal status of each segment of the video. Recent successful researches argue that it… read more here.
Keywords: video anomaly; accuracy; detection; world video ... See more keywords
Video Anomaly Detection Based on Optical Flow Feature Enhanced Spatio–Temporal Feature Network FusionNet-LSTM-G
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3229420
Abstract: Video anomaly detection refers to the rapid identification and localization of anomalous events during video surveillance. It has become a challenging task due to the dependence of anomalous event definitions on specific scenes and the… read more here.
Keywords: video anomaly; feature; anomaly detection; video ... See more keywords
A New Unsupervised Video Anomaly Detection Using Multi-Scale Feature Memorization and Multipath Temporal Information Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3237028
Abstract: Anomaly detection in video is an advanced computer vision challenge that recognizes video segments containing out-of-the-ordinary motions or objects. Most recent techniques in video anomaly detection have focused on reconstruction and prediction methods; however, in… read more here.
Keywords: information; video anomaly; detection; prediction ... See more keywords
Contrastive-Regularized U-Net for Video Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3266345
Abstract: Video anomaly detection aims to identify anomalous segments in a video. It is typically trained with weakly supervised video-level labels. This paper focuses on two crucial factors affecting the performance of video anomaly detection models.… read more here.
Keywords: regularized net; video anomaly; contrastive regularized; anomaly detection ... See more keywords
MSAF: Multimodal Supervise-Attention Enhanced Fusion for Video Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3216500
Abstract: The complementarity of multimodal signal is essential for video anomaly detection. However, existing methods either lack exploration to multimodal data or ignore the implicit alignment of multimodal features. In our work, we address this problem… read more here.
Keywords: video anomaly; multimodal supervise; fusion; supervise attention ... See more keywords
OSIN: Object-Centric Scene Inference Network for Unsupervised Video Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3263792
Abstract: Video Anomaly Detection (VAD) is an essential yet challenging task in the signal processing community, which aims to understand the spatial and temporal contextual interactions between objects and surrounding scenes to detect unexpected events in… read more here.
Keywords: network; video anomaly; object centric; anomaly detection ... See more keywords
Bidirectional Spatio-Temporal Feature Learning With Multiscale Evaluation for Video Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3190539
Abstract: Video anomaly detection aims to detect the segments containing abnormal events from video sequence, which is a current research hotspot due to the importance in maintaining social security. Recent detection methods tend to build frame… read more here.
Keywords: evaluation; video anomaly; bidirectional spatio; detection ... See more keywords
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3227044
Abstract: Weakly supervised video anomaly detection is generally formulated as a multiple instance learning (MIL) problem, where an anomaly detector learns to generate frame-level anomaly scores under the supervision of MIL-based video-level classification. However, most previous… read more here.
Keywords: video anomaly; weakly supervised; supervised video; temporal discriminative ... See more keywords
Video Anomaly Detection With Compact Feature Sets for Online Performance
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2695105
Abstract: Over the past decade, video anomaly detection has been explored with remarkable results. However, research on methodologies suitable for online performance is still very limited. In this paper, we present an online framework for video… read more here.
Keywords: detection; video anomaly; feature; anomaly detection ... See more keywords