The novel framework achieves state-of-the-art performance without sacrificing efficiency in public surveillance tasks Computer vision has progressed much over the past decade. Implementing algorithms for simultaneous tracking of multiple objects is essential for applications involving autonomous driving and advanced public surveillance. However, computers often find difficulty in accurately distinguishing between detected objects. One example is […]
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