TL; DR. We propose a novel perspective to regard the multiple object tracking task as an in-context ID prediction problem. Given a set of trajectories carried with ID information, MOTIP directly ...
Abstract: Multiple object tracking (MOT) is becoming increasingly significant for autonomous driving and intelligent transportation systems. However, traditional MOT methods cannot track the objects ...
Abstract: 3D multi-object tracking (MOT) is essential for providing stable and reliable motion states of surrounding obstacles in autonomous driving. Existing methods primarily focus on motion-based ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...
Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
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