Dbscan-based tracklet association annealer for advanced multi-object tracking

HIGHLIGHTS

• who: Jongwon Kim and Jeongho Cho from the (UNIVERSITY) have published the research: DBSCAN-Based Tracklet Association Annealer for Advanced Multi-Object Tracking, in the Journal: Sensors 2021, 5715 of /2021/
• what: The authors propose a technique redesigned on DBSCAN which has high robustness against noise and is excellent for nonlinear clustering. The authors propose a density-based tracklet association annealer (DTAA)-a novel tracking-by-detection technique. The authors propose a strategy to enhance the performance of existing tracking techniques while solving the problem of noise vulnerability and operational efficiency degradation occurring in MOT . . .
  

   

  

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