TL;DR本研究提出了一种新的联合模型,将位置预测和嵌入关联相结合,以尽量从目标信息中提取更可靠的嵌入,从而提高数据关联的准确性和鲁棒性。实验结果表明,该方法在 MOT 挑战基准测试中的性能优于现有方法。
Abstract
Modern online multiple object tracking (MOT) methods usually focus on two
directions to improve tracking performance. One is to predict new positions in
an incoming frame based on tracking information from previous frames, and the
other is to enhance data association by generating more