Tran, D.[Du],
Yuan, J.S.[Jun-Song],
Forsyth, D.A.,
Video Event Detection:
From Subvolume Localization to Spatiotemporal Path Search,
PAMI(36), No. 2, February 2014, pp. 404-416.
IEEE DOI
1402
BibRef
Earlier: A1, A3, Only:
Optimal spatio-temporal path discovery for video event detection,
CVPR11(3321-3328).
IEEE DOI
1106
image motion analysis
BibRef
Yan, X.C.[Xin-Chen],
Yuan, J.S.[Jun-Song],
Liang, H.[Hui],
Efficient Online Spatio-Temporal Filtering for Video Event Detection,
VECTaR14(769-785).
Springer DOI
1504
BibRef
Jiang, F.[Fan],
Yuan, J.S.[Jun-Song],
Tsaftaris, S.A.[Sotirios A.],
Katsaggelos, A.K.[Aggelos K.],
Anomalous video event detection using spatiotemporal context,
CVIU(115), No. 3, March 2011, pp. 323-333.
Elsevier DOI
1103
BibRef
Earlier:
Video anomaly detection in spatiotemporal context,
ICIP10(705-708).
IEEE DOI
1009
Video surveillance; Anomaly detection; Data mining; Clustering; Context
BibRef
Chang, Y.P.[Yun-Peng],
Tu, Z.G.[Zhi-Gang],
Xie, W.[Wei],
Luo, B.[Bin],
Zhang, S.F.[Shi-Fu],
Sui, H.G.[Hai-Gang],
Yuan, J.S.[Jun-Song],
Video anomaly detection with spatio-temporal dissociation,
PR(122), 2022, pp. 108213.
Elsevier DOI
2112
Video anomaly detection, Spatio-temporal dissociation,
Simulate motion of optical flow, Deep K-means cluster
BibRef
Bertini, M.[Marco],
del Bimbo, A.[Alberto],
Seidenari, L.[Lorenzo],
Multi-scale and real-time non-parametric approach for anomaly detection
and localization,
CVIU(116), No. 3, March 2012, pp. 320-329.
Elsevier DOI
1201
BibRef
Earlier: A3, A1, A2:
Dense spatio-temporal features for non-parametric anomaly detection and
localization,
ARTEMIS10(27-32).
DOI Link
1111
Video surveillance; Anomaly detection; Space-time features
BibRef
Liu, K.W.[Kang-Wei],
Wan, J.H.[Jian-Hua],
Han, Z.Z.[Zhong-Zhi],
Abnormal event detection and localization using level set based on
hybrid features,
SIViP(12), No. 2, February 2018, pp. 255-261.
Springer DOI
1802
five image descriptors, namely the color moments, the edge histogram
descriptors, the color and edge directivity descriptors, the color
layout descriptors, and the scalable color descriptors.
BibRef
Ratre, A.[Avinash],
Pankajakshan, V.[Vinod],
Tucker tensor decomposition-based tracking and Gaussian mixture model
for anomaly localisation and detection in surveillance videos,
IET-CV(12), No. 6, September 2018, pp. 933-940.
DOI Link
1808
BibRef
Zhang, X.F.[Xin-Feng],
Yang, S.[Su],
Zhang, J.L.[Jiu-Long],
Zhang, W.S.[Wei-Shan],
Video anomaly detection and localization using motion-field shape
description and homogeneity testing,
PR(105), 2020, pp. 107394.
Elsevier DOI
2006
Abnormal activity, Anomaly detection, Anomaly localization,
Shape description, -NN similarity-based outlier detection
BibRef
Guo, J.,
Zheng, P.,
Huang, J.,
Efficient Privacy-Preserving Anomaly Detection and Localization in
Bitstream Video,
CirSysVideo(30), No. 9, September 2020, pp. 3268-3281.
IEEE DOI
2009
Anomaly detection, Encryption, Cloud computing, Feature extraction,
Servers, Signal processing in the encrypted domain,
cloud computing
BibRef
Lv, H.[Hui],
Zhou, C.W.[Chuan-Wei],
Cui, Z.[Zhen],
Xu, C.Y.[Chun-Yan],
Li, Y.[Yong],
Yang, J.[Jian],
Localizing Anomalies From Weakly-Labeled Videos,
IP(30), 2021, pp. 4505-4515.
IEEE DOI
2105
Videos, Anomaly detection, Location awareness, Semantics, Detectors,
Training, Benchmark testing, Anomaly detection,
traffic anomaly dataset
BibRef
Huang, C.Q.[Chao-Qin],
Xu, Q.[Qinwei],
Wang, Y.F.[Yan-Feng],
Wang, Y.[Yu],
Zhang, Y.[Ya],
Self-Supervised Masking for Unsupervised Anomaly Detection and
Localization,
MultMed(25), 2023, pp. 4426-4438.
IEEE DOI
2310
BibRef
Cao, Y.[Yunkang],
Xu, X.[Xiaohao],
Sun, C.[Chen],
Gao, L.[Liang],
Shen, W.M.[Wei-Ming],
BiaS: Incorporating Biased Knowledge to Boost Unsupervised Image
Anomaly Localization,
SMCS(54), No. 4, April 2024, pp. 2342-2353.
IEEE DOI
2403
Location awareness, Task analysis, Knowledge engineering,
Inspection, Training, Testing, Sun, Anomaly localization, knowledge distillation
BibRef
Nizan, O.[Ori],
Tal, A.[Ayellet],
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection,
Anomaly24(1005-1014)
IEEE DOI
2404
Training, Shape, Flowering plants, Feature extraction, Vectors
BibRef
Zhao, Y.[Ying],
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization,
CVPR23(3924-3933)
IEEE DOI
2309
BibRef
Zhang, H.[Hui],
Wu, Z.X.[Zu-Xuan],
Wang, Z.[Zheng],
Chen, Z.[Zhineng],
Jiang, Y.G.[Yu-Gang],
Prototypical Residual Networks for Anomaly Detection and Localization,
CVPR23(16281-16291)
IEEE DOI
2309
BibRef
Singh, A.[Ashish],
Jones, M.J.[Michael J.],
Learned-Miller, E.G.[Erik G.],
EVAL: Explainable Video Anomaly Localization,
CVPR23(18717-18726)
IEEE DOI
2309
BibRef
Liu, Z.K.[Zhi-Kang],
Zhou, Y.M.[Yi-Ming],
Xu, Y.S.[Yuan-Sheng],
Wang, Z.[Zilei],
SimpleNet: A Simple Network for Image Anomaly Detection and
Localization,
CVPR23(20402-20411)
IEEE DOI
2309
BibRef
Heckler, L.[Lars],
König, R.[Rebecca],
Bergmann, P.[Paul],
Exploring the Importance of Pretrained Feature Extractors for
Unsupervised Anomaly Detection and Localization,
VAND23(2917-2926)
IEEE DOI
2309
BibRef
Chiu, L.L.[Li-Ling],
Lai, S.H.[Shang-Hong],
Self-Supervised Normalizing Flows for Image Anomaly Detection and
Localization,
VAND23(2927-2936)
IEEE DOI
2309
BibRef
Panariello, A.[Aniello],
Porrello, A.[Angelo],
Calderara, S.[Simone],
Cucchiara, R.[Rita],
Consistency-based Self-supervised Learning for Temporal Anomaly
Localization,
PeopleAn22(338-349).
Springer DOI
2304
BibRef
Schlüter, H.M.[Hannah M.],
Tan, J.[Jeremy],
Hou, B.[Benjamin],
Kainz, B.[Bernhard],
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and
Localization,
ECCV22(XXXI:474-489).
Springer DOI
2211
BibRef
Kawamura, N.[Naoki],
Unsupervised Anomaly Localization Using Locally Adaptive
Query-Dependent Scores,
CIAP22(II:300-311).
Springer DOI
2205
BibRef
Defard, T.[Thomas],
Setkov, A.[Aleksandr],
Loesch, A.[Angelique],
Audigier, R.[Romaric],
Padim: A Patch Distribution Modeling Framework for Anomaly Detection
and Localization,
IML20(475-489).
Springer DOI
2103
BibRef
Venkataramanan, S.[Shashanka],
Peng, K.C.[Kuan-Chuan],
Singh, R.V.[Rajat Vikram],
Mahalanobis, A.[Abhijit],
Attention Guided Anomaly Localization in Images,
ECCV20(XVII:485-503).
Springer DOI
2011
Inspection, surveillance.
BibRef
Pathak, D.[Deepak],
Sharang, A.[Abhijit],
Mukerjee, A.[Amitabha],
Anomaly Localization in Topic-Based Analysis of Surveillance Videos,
WACV15(389-395)
IEEE DOI
1503
Computational modeling
BibRef
Chockalingam, T.[Thiyagarajan],
Emonet, R.[Remi],
Odobez, J.M.[Jean-Marc],
Localized anomaly detection via hierarchical integrated activity
discovery,
AVSS13(51-56)
IEEE DOI
1311
Cameras
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Learning for Detecting Anomalies .