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Found 4 papers, 1 papers with code
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes
The detection of abnormal behaviours in crowded scenes has to deal with many challenges.
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Current work on convolutional neural networks(CNNs) has shown that CNNs provide advanced spatial features supporting a very good performance of solutions for both image and video analysis, especially for the semantic segmentation task.
Real-Time Anomaly Detection and Localization in Crowded Scenes
In this paper, we propose a method for real-time anomaly detection and localization in crowded scenes.
Look at the Driver, Look at the Road: No Distraction! No Accident!
The paper proposes an advanced driver-assistance system that correlates the driver's head pose to road hazards by analyzing both simultaneously.
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