DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-126

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-1,Issue-1  ( Mar, 2013 )
Paper Title
Literature review on “cascade object detection using deformable part model”
Author Name
Kumudini K.Borkute, C. K. Kurve
Affilition
Department of Electronics Engineering, K.I.T.S, Ramtek, Dist: Nagpur
Pages
29-33
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
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