A Center-Based Light and Simple Method for Multi Object Tracking
收藏中国科学院中国科学技术大学科学数据中心2026-01-10 收录
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资源简介：
Abstract—Traditionally, multi-object tracking is a technique
for tracking points of interest through space and time. With the
rise of powerful deep networks, this situation has changed.
Nowadays, tracking mainly consists of pipelines that perform
object detection and time correlation (also called tracking by
detection). However, in order to extract more representative
functions, many State-Of-The-Art (SOTA) models use a lot of
complex backbones, which hindered the speed of inference. We
proposed a new multi-object tracking model named SqueezedExcited-Center-Based tracking (SECB-tracking), and replace
the original IoU loss with the new Complete IoU loss, which can
help the model converge faster. We evaluated our proposed
method on the MOT17 dataset. Compared with CenterTrack, we
have increased MOTA by 7 points (a relative increase of 10.3%)
and reduced inference time by 20%.
提供机构：
中国科学院软件研究所
创建时间：
2023-05-31
