Multiple object tracking through background learning

HIGHLIGHTS

  • who: Deependra Sharma from the Department of Electrical Engineering, New-Delhi, India have published the Article: Multiple Object Tracking through Background Learning, in the Journal: (JOURNAL)
  • what: In this work an algorithm is proposed for the multiple object tracking through background learning. The authors address related work in part 2, and the authors show the proposed system in Section 3, which includes extracting ROIs, background subtraction, foreground analysis, and object tracking. The aim of graph embedding method being to encode object states into a latent vector space, i.e., pack every object state`s parameter . . .

     

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