International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Literature review on “cascade object detection using deformable part model”

Author :Kumudini K.Borkute, C. K. Kurve

Article Citation :Kumudini K.Borkute ,C. K. Kurve , (2013 ) " Literature review on “cascade object detection using deformable part model” " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 29-33, Volume-1,Issue-1

Abstract : This paper describes a general method for building cascade classifiers from part-based deformable models such as pictorial structures. This paper focuses primarily on the case of star-structured models and show how a simple algorithm based on partial hypothesis pruning can speed up object detection by more than one order of magnitude without sacrificing detection accuracy. It based on two algorithms; the cascade variant dynamic programming algorithm fills values in DP tables and training algorithm for the thresholds used in the cascade

Type : Research paper

Published : Volume-1,Issue-1


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-126   View Here

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