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)

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Methods used in the Paper


METHOD TYPE
Non Maximum Suppression
Proposal Filtering
1x1 Convolution
Convolutions
Convolution
Convolutions
SSD
Object Detection Models