SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features
TL;DR
SpikeMOT uses event cameras' high temporal resolution for multi-object tracking with sparse motion features, addressing gaps in real-world applications. This approach enhances tracking accuracy by leveraging event-based data between frames.
SpikeMOT: Event-Based Multi-Object Tracking With Sparse Motion Features
Song Wang; Zhu Wang; Can Li; Xiaojuan Qi; Hayden Kwok-Hay So
https://doi.org/10.1109/ACCESS.2024.3523411
Volume 13
In comparison to conventional RGB cameras, the exceptional temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking. Yet in practice, despite their theoretical advantages, the body of work on event-based multi-object tracking (MOT) remains in its infancy, especially in real-world environments where events from com...