scholarly journals Anomaly Detection in Crowded Scenes Using Log-Euclidean Covariance Matrix

2018 ◽  
Author(s):  
Efsun Sefa Sezer ◽  
Ahmet Burak Can
Keyword(s):  
Anomaly Detection ◽  
Covariance Matrix ◽  
Crowded Scenes

scholarly journals Anomaly Detection Based on Local Nearest Neighbor Distance Descriptor in Crowded Scenes

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xing Hu ◽  
Shiqiang Hu ◽  
Xiaoyu Zhang ◽  
Huanlong Zhang ◽  
Lingkun Luo
Keyword(s):  
Anomaly Detection ◽  
Nearest Neighbor ◽  
Computation Time ◽  
Compact Representation ◽  
Feature Descriptor ◽  
Neighbor Distance ◽  
Low Level ◽  
Feature Descriptors ◽  
Nearest Neighbor Distance ◽  
Crowded Scenes

We propose a novel local nearest neighbor distance (LNND) descriptor for anomaly detection in crowded scenes. Comparing with the commonly used low-level feature descriptors in previous works, LNND descriptor has two major advantages. First, LNND descriptor efficiently incorporates spatial and temporal contextual information around the video event that is important for detecting anomalous interaction among multiple events, while most existing feature descriptors only contain the information of single event. Second, LNND descriptor is a compact representation and its dimensionality is typically much lower than the low-level feature descriptor. Therefore, not only the computation time and storage requirement can be accordingly saved by using LNND descriptor for the anomaly detection method with offline training fashion, but also the negative aspects caused by using high-dimensional feature descriptor can be avoided. We validate the effectiveness of LNND descriptor by conducting extensive experiments on different benchmark datasets. Experimental results show the promising performance of LNND-based method against the state-of-the-art methods. It is worthwhile to notice that the LNND-based approach requires less intermediate processing steps without any subsequent processing such as smoothing but achieves comparable event better performance.

scholarly journals Anomaly Detection and Localization in Crowded Scenes

2014 ◽  
Vol 36 (1) ◽  
pp. 18-32 ◽  
Author(s):  
Weixin Li ◽  
Vijay Mahadevan ◽  
Nuno Vasconcelos
Keyword(s):  
Anomaly Detection ◽  
Detection And Localization ◽  
Crowded Scenes

Hyperspectral Anomaly Detection With Kurtosis-Driven Local Covariance Matrix Corruption Mitigation

2011 ◽  
Vol 8 (3) ◽  
pp. 532-536 ◽  
Author(s):  
Stefania Matteoli ◽  
Marco Diani ◽  
Giovanni Corsini
Keyword(s):  
Anomaly Detection ◽  
Covariance Matrix ◽  
Local Covariance

Anomaly Detection through Spatio-temporal Context Modeling in Crowded Scenes

2014 ◽  
Author(s):  
Tong Lu ◽  
Liang Wu ◽  
Xiaolin Ma ◽  
Palaiahnakote Shivakumara ◽  
Chew Lim Tan
Keyword(s):  
Anomaly Detection ◽  
Temporal Context ◽  
Context Modeling ◽  
Spatio Temporal ◽  
Crowded Scenes

Real-time anomaly detection in dense crowded scenes

2014 ◽  
Author(s):  
Habib Ullah ◽  
Mohib Ullah ◽  
Nicola Conci
Keyword(s):  
Anomaly Detection ◽  
Real Time ◽  
Crowded Scenes
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