Method

ACF + LidarDepth [ACFD]
[Anonymous Submission]

Submitted on 30 May. 2016 11:22 by
[Anonymous Submission]

Running time:0.2 s
Environment:4 cores @ >3.5 Ghz (C/C++)

Method Description:
Parameters:
opts.modelDs=[50 20.5];
opts.modelDsPad=[64 32];
opts.nWeak=[64 256 1024 4096];
opts.nNeg=30000;
opts.nAccNeg=50000;
opts.pBoost.pTree.nThreads =16;
opts.stride = 2;
detector.opts.pPyramid.nPerOct = 8;
detector.opts.pPyramid.nApprox = 7;
detector.opts.pPyramid.nOctUp = 1;
Latex Bibtex:

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) 61.59 % 50.91 % 45.51 %
This table as LaTeX


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




eXTReMe Tracker