69 citations · 78 across the 12 of their papers we have counts for
5 papers · 1 filter
Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach
Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre +4
Addressing public safety effectively requires incorporating diverse stakeholder perspectives, particularly those of the community, which are often underrepresented compared to othe…
VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications
Vinit Katariya, Fatema-E- Jannat, Armin Danesh Pazho +2
Vehicle anomaly detection plays a vital role in highway safety applications such as accident prevention, rapid response, traffic flow optimization, and work zone safety. With the s…
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya +1
Enhancing roadway safety has become an essential computer vision focus area for Intelligent Transportation Systems (ITS). As a part of ITS, Vehicle Trajectory Prediction (VTP) aims…
A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture
Vinit Katariya, Ghazal Alinezhad Noghre, Armin Danesh Pazho +1
Vehicle Trajectory datasets that provide multiple point-of-views (POVs) can be valuable for various traffic safety and management applications. Despite the abundance of trajectory…
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection
Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya +1
Pose-based anomaly detection is a video-analysis technique for detecting anomalous events or behaviors by examining human pose extracted from the video frames. Utilizing pose data…