Method

PDV2 [PDV2]


Submitted on 19 Dec. 2016 17:42 by
Jifeng Shen (Jiangsu university)

Running time:3.7 s
Environment:1 core @ 3.0 Ghz Matlab (C/C++)

Method Description:
improved version of our published PR 2016 paper.
Parameters:
PDV2
Latex Bibtex:
@article{Shen2017PR,
title = "A novel pixel neighborhood differential
statistic feature for pedestrian and face
detection ",
journal = "Pattern Recognition ",
volume = "63",
number = "",
pages = "127 - 138",
year = "2017",
note = "",
issn = "0031-3203",
doi =
"http://dx.doi.org/10.1016/j.patcog.2016.09.010",
url =
"http://www.sciencedirect.com/science/article/pii/
S0031320316302710",
author = "Jifeng Shen and Xin Zuo and Jun Li and
Wankou Yang and Haibin Ling",
}

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).


Benchmark Easy Moderate Hard
Pedestrian (Detection) 65.59 % 53.54 % 47.65 %
This table as LaTeX

2D object detection results.
This figure as: png eps pdf txt gnuplot




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