Method

ACF-MultiRes [ACF-MR]


Submitted on 17 Aug. 2015 21:31 by
Rakesh Nattoji Rajaram (CVRR-UCSD)

Running time:0.6 s
Environment:1 core @ 3.5 Ghz (C/C++)

Method Description:
Multi-Resolution framework on top of ACF Detector.
Parameters:
Latex Bibtex:
@article{Nattoji2016TITS,
author = {Rakesh Nattoji Rajaram and Eshed Ohn-Bar
and Mohan M. Trivedi},
title = {Looking at Pedestrians at Different
Scales: A Multi-resolution Approach and
Evaluations},
journal = {T-ITS},
year = {2016},
}

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) 58.29 % 44.79 % 39.94 %
Pedestrian (Orientation) 29.23 % 22.61 % 20.08 %
This table as LaTeX

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



Orientation estimation results.
This figure as: png eps pdf txt gnuplot




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