Method

Learning Complexity-Aware Cascades for Deep Pedestrian Detection [CompACT-Deep]


Submitted on 1 Nov. 2015 08:58 by
Zhaowei Cai (UCSD)

Running time:1 s
Environment:1 core @ 2.5 Ghz (Matlab + C/C++)

Method Description:
Please check the paper.
Parameters:
Please check the paper.
Latex Bibtex:
@inproceedings{Cai2015ICCV,
title = {Learning Complexity-Aware Cascades for Deep Pedestrian Detection},
author = {Zhaowei Cai and Mohammad Saberian and Nuno Vasconcelos},
booktitle = {ICCV},
year = {2015}
}

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) 69.70 % 58.73 % 52.69 %
This table as LaTeX


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




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