A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection
Video anomaly detection and localization is one of the key components of the intelligent
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …
video surveillance system. Video anomaly detection refers to the process of spatiotemporal …
Audio–visual representation learning for anomaly events detection in crowds
In recent years, anomaly events detection in crowd scenes attracts many researchers'
attentions, because of its importance to public safety. Existing methods usually exploit visual …
attentions, because of its importance to public safety. Existing methods usually exploit visual …
[PDF][PDF] E-GNN: An Enhanced Method for Multi-Object Tracking with Collective Motion Patterns.
W Zhan, W Yu, Y Wang, T Hu, B Zhu - IEEE Robotics Autom. Lett., 2024 - researchgate.net
The long-term consistent visual tracking of large-scale moving swarms of animals or
autonomous moving robots (AMR) is extremely challenging when the three factors are …
autonomous moving robots (AMR) is extremely challenging when the three factors are …
An appetite assessment method for fish in outdoor ponds with anti-shadow disturbance
W Ni, D Wei, Z Peng, Z Ma, S Zhu, R Tang… - … and Electronics in …, 2024 - Elsevier
Accurate quantification of fish appetite can provide effective feeding reference for
aquaculture managers. Existing appetite assessment methods are focused on relatively …
aquaculture managers. Existing appetite assessment methods are focused on relatively …
E-GNN: Enhancing Multi-Object Tracking by Exploiting the Group Motion Pattern Behind Collective Behavior
W Zhan, W Yu, Y Wang, T Hu… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
The long-term consistent visual tracking of large-scale moving swarms of animals or
autonomous moving robots (AMR) is extremely challenging when the three factors are …
autonomous moving robots (AMR) is extremely challenging when the three factors are …
From Streamline to Pathline: Visualizing Particle Trajectories Under Changing Velocity Fields
Monitoring of subsurface fluid motion is critical for optimizing hydrocarbon production and
CO 2 sequestration. Streamlines are frequently used to visualize fluid flow; however, they …
CO 2 sequestration. Streamlines are frequently used to visualize fluid flow; however, they …
Abnormalities detection and tracking of crowd using kinematics approach in a video stream
M YM, R GK - Multimedia Tools and Applications, 2024 - Springer
The effective analysis and detection of crowd behavior is a very challenging issue in video
surveillance systems. Most of the conventional approaches is not up to the mark for real time …
surveillance systems. Most of the conventional approaches is not up to the mark for real time …
Crowd Movement Type Estimation in Video by Integral Optical Flow and Convolution Neural Network
H Chen, A Pashkevich, S Ye, R Bohush… - Pattern Recognition and …, 2024 - Springer
The paper proposes a new approach for crowd movement type estimation in video by
combining convolutional neural network and integral optical flow. At first, main notions of …
combining convolutional neural network and integral optical flow. At first, main notions of …
Optical Flow-Based Video Anomaly Detection Approaches
X Wang - Anomaly Detection in Video Surveillance, 2024 - Springer
In comparison with the background subtraction methods introduced in the previous chapters
which are more suitable to simple static scenes when the background remains fixed for a …
which are more suitable to simple static scenes when the background remains fixed for a …
Social Force Model-Based Video Anomaly Detection Approaches
X Wang - Anomaly Detection in Video Surveillance, 2024 - Springer
The research on spatiotemporal abnormal behavior recognition has two main categories,
individual abnormal behavior recognition and crowd abnormal behavior recognition …
individual abnormal behavior recognition and crowd abnormal behavior recognition …