49 citations · 98 across the 3 of their papers we have counts for
3 papers · 1 filter
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou +3
This paper presents a novel method to involve both spatial and temporal features for semantic video segmentation. Current work on convolutional neural networks(CNNs) has shown that…
Deep-Anomaly: Fully Convolutional Neural Network for Fast Anomaly Detection in Crowded Scenes
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy +2
The detection of abnormal behaviours in crowded scenes has to deal with many challenges. This paper presents an efficient method for detection and localization of anomalies in vide…
Real-Time Anomaly Detection and Localization in Crowded Scenes
Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini +1
In this paper, we propose a method for real-time anomaly detection and localization in crowded scenes. Each video is defined as a set of non-overlapping cubic patches, and is descr…