Abstract: Kalman filter (KF) based methods for multi-object tracking (MOT) make an assumption that objects move linearly. While this assumption is acceptable for very short periods of occlusion, ...
Abstract: Feature selection (FS) is crucial for dimensionality reduction. However, existing methods struggle with high-dimensional feature redundancy and complex associations. These limitations hinder ...
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