Abstract: Deep learning-based object detection has driven the development of multi-object tracking (MOT). However, the existing MOT methods are mainly aimed at regular motion, which makes it difficult ...

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Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and ...

Abstract: In real application scenarios, objects are usually in complex unstructured environments, so object sorting operations based on machine vision are essential. To solve it, we propose a sort ...