SMOT: Single-Shot Multi Object Tracking

30 Oct 2020 Wei Li Yuanjun Xiong Shuo Yang Siqi Deng Wei Xia

We present single-shot multi-object tracker (SMOT), a new tracking framework that converts any single-shot detector (SSD) model into an online multiple object tracker, which emphasizes simultaneously detecting and tracking of the object paths. Contrary to the existing tracking by detection approaches which suffer from errors made by the object detectors, SMOT adopts the recently proposed scheme of tracking by re-detection... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

Non Maximum Suppression
Proposal Filtering
1x1 Convolution
Object Detection Models