Author : Sanaa Tayb
Affiliation :
Ibn Tofail University
Country : Morocco
Category : Computer Science & Information Technology
Volume, Issue,
Month, Year
: 6, 1, November, 2016
ABSTRACT
In
this paper, we present and analyze different approaches implemented here to
resolve pedestrian detection problem. Histograms of Oriented Laplacian (HOL) is
a descriptor of characteristic, it aims to highlight objects in digital images,
Discrete Cosine Transform DCT with its two version global (GDCT) and local
(LDCT), it changes image's pixel into frequencies coefficients and then we use
them as a characteristics in the process. We implemented independently these
methods and tried to combine it and used there outputs in a classifier, the new
generated classifier has proved it efficiency in certain cases. The performance
of those methods and their combination is tested on most popular Dataset in
pedestrian detection, which are INRIA and Daimler.
Keyword :
Pedestrian detection, HOL, DCT local, DCT Global, Classification, SVM,
Inria Person, Daimler.
For More Details : https://airccj.org/CSCP/vol6/csit64809.pdf
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