  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. We combine this scheme with SSD
detectors by proposing a novel tracking anchor assignment module. With this
design SMOT is able to generate tracklets with a constant per-frame runtime. A
light-weighted linkage algorithm is then used for online tracklet linking. On
three benchmarks of object tracking: Hannah, Music Videos, and MOT17, the
proposed SMOT achieves state-of-the-art performance.
