Yu-Jin Kim

Data-driven Physical Adjustment for Nonlinear Motion Tracking

Multiple object tracking in real-world pedestrian scenes is often degraded by false positive detections and unstable prediction-detection alignment arising from object proximity, partial occlusion, and overlapping motion. These factors can disrupt data association and lead to ina...