@article{ref1,
title="Pedestrian categorization using heterogenous HOG cascade and motion difference silhouette",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2013",
author="Kim, HyungKwan and Takahashi, Toshimitsu and Kamijo, Shunsuke",
volume="44",
number="2",
pages="573-578",
abstract="This paper presents a system that detects pedestrians and categorizes their &quot;class&quot;. Foreground objects are detected as Regions of Interest (ROI) by a linear approximation on background motion vectors and tracked by the S-T MRF model. Then, a cascade of heterogeneous classifiers scans inside the ROI in which area a pedestrian exists. Finally, our system categorizes each ROI to a various class based on a silhouette of motion difference and position of pedestrian-classified sub ROI. The system successfully categorizes five classes such as a single pedestrian, multiple pedestrians, a cyclist, a baby-car and a suitcase. As the process utilizes the output from pedestrian detection system, our system accomplishes categorization while computational costs hardly increased.<p /><p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.44.573",
url="http://dx.doi.org/10.11351/jsaeronbun.44.573"
}