Method

Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework [spLBP]


Submitted on 16 Mar. 2016 13:09 by
Qichang Hu (The University of Adelaide)

Running time:1.5 s
Environment:8 cores @ 2.5 Ghz (Matlab + C/C++)

Method Description:
Parameters:
Latex Bibtex:
@article{Hu2016TITS,
author = {Qichang Hu and
Sakrapee Paisitkriangkrai and
Chunhua Shen and
Anton van den Hengel and
Fatih Porikli},
title = {Fast Detection of Multiple Objects in Traffic Scenes With a Common
Detection Framework},
journal = {{IEEE} Trans. Intelligent Transportation Systems},
volume = {17},
number = {4},
pages = {1002--1014},
year = {2016},
url = {http://dx.doi.org/10.1109/TITS.2015.2496795},
doi = {10.1109/TITS.2015.2496795},
timestamp = {Wed, 30 Mar 2016 18:16:42 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/tits/HuPSHP16},
bibsource = {dblp computer science bibliography, http://dblp.org}
}

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
Car (Detection) 81.66 % 78.66 % 61.69 %
This table as LaTeX

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




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