Multi-memory video anomaly detection based on scene object distribution

H Li, J Chen, X Sun, C Li, J Chen - Multimedia Tools and Applications, 2023 - Springer
With the popularity of surveillance equipment and the rise of intelligent surveillance, video
anomaly detection has gradually become a research hotspot. Among them, for video …

A Hybrid Approach to Improve the Video Anomaly Detection Performance of Pixel-and Frame-Based Techniques Using Machine Learning Algorithms

H Tutar, A Güneş, M Zontul, Z Aslan - Computation, 2024 - mdpi.com
With the rapid development in technology in recent years, the use of cameras and the
production of video and image data have similarly increased. Therefore, there is a great …

[PDF][PDF] Abnormal Crowd Behavior Detection Using Optimized Pyramidal Lucas-Kanade Technique

G Rajasekaran, J Raja Sekar - Intelligent Automation & Soft …, 2023 - cdn.techscience.cn
Abnormal behavior detection is challenging and one of the growing research areas in
computer vision. The main aim of this research work is to focus on panic and escape …

[PDF][PDF] Multi Chunk Learning Based Auto Encoder for Video Anomaly Detection.

X Qi, G Ji, J Zhang, B Sheng - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Video anomaly detection is essential to distinguish abnormal events in large volumes of
surveillance video and can benefit many fields such as traffic management, public security …

Retraining Generative Adversarial Autoencoder for Video Anomaly Detection

X Qi, Z Hu, G Ji - … Conference on Advanced Cloud and Big …, 2023 - ieeexplore.ieee.org
Video anomaly detection is a challenging task that has received increasing attention in the
computer vision community. However, most existing methods train the model only once …

Mgdp: Architecture design of intelligent detection platform for marine garbage based on intelligent internet of things

N Cao, Y Wang, X Li, R Qu, Y Wang, Z Liang… - … Conference on Artificial …, 2022 - Springer
With the rapid development of global technology and economy, the problem of
environmental pollution has become more and more prominent, and people's environmental …

Dual Attention Mechanisms Based Auto-Encoder for Video Anomaly Detection

J Gu, J Zeng, G Ji - International Conference on Adaptive and Intelligent …, 2022 - Springer
Video anomaly detection refers to the identification of abnormal behaviors that do not
conform to normal patterns. Reconstruction of video frames based on auto-encoder is the …

[PDF][PDF] Criss-Cross Attention Based Auto Encoder for Video Anomaly Event Detection

J Wang, J Zhang, G Ji, B Sheng - … AUTOMATION AND SOFT …, 2022 - cdn.techscience.cn
The surveillance applications generate enormous video data and present challenges to
video analysis for huge human labor cost. Reconstruction-based convolutional …