Robust Prediction Method for Pedestrian Trajectories in Occluded Video Scenarios
Aria Seo,
Hyeonjin Jeon,
Yunsik Son
Abstract:In smart surveillance and intelligent transportation systems, accurately predicting pedestrian movements, especially under occlusions, remains a significant challenge. Traditional surveillance methods, primarily based on fixed CCTV footage, often overlook occlusions, noise, and camera angle changes, leading to inaccuracies in pedestrian trajectory predictions. Addressing this gap, our research introduces a novel trajectory prediction system optimized for various walking and filming conditions. By leveraging th… Show more
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