1 citations · 2 across the 6 of their papers we have counts for
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FLAMe: Federated Learning with Attention Mechanism using Spatio-Temporal Keypoint Transformers for Pedestrian Fall Detection in Smart Cities
Byeonghun Kim, Byeongjoon Noh
In smart cities, detecting pedestrian falls is a major challenge to ensure the safety and quality of life of citizens. In this study, we propose a novel fall detection system using…
Identifying the exterior image of buildings on a 3D map and extracting elevation information using deep learning and digital image processing
Donghwa Shon, Byeongjoon Noh, Nahyang Byun
Despite the fact that architectural administration information in Korea has been providing high-quality information for a long period of time, the level of utility of the informati…
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
Byeongjoon Noh, Hansaem Park, Hwasoo Yeo
Traffic accidents are a threat to human lives, particularly pedestrians causing premature deaths. Therefore, it is necessary to devise systems to prevent accidents in advance and r…
Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video Sensor
Byeongjoon Noh, Dongho Ka, Wonjun Noh +1
Pedestrians are exposed to risk of death or serious injuries on roads, especially unsignalized crosswalks, for a variety of reasons. To date, an extensive variety of studies have r…
Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City
Byeongjoon Noh, Dongho Ka, David Lee +1
Despite recent advances in vehicle safety technologies, road traffic accidents still pose a severe threat to human lives and have become a leading cause of premature deaths. In par…
A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure
Byeongjoon Noh, Hwasoo Yeo
Road traffic accidents, especially vehicle pedestrian collisions in crosswalk, globally pose a severe threat to human lives and have become a leading cause of premature deaths. In…