Depth gradient based region of interest generation for pedestrian detection

Depth gradient based region of interest generation for pedestrian detection

In this paper, we present a novel region of interest (ROI) generation method for stereo-based pedestrian detection systems. In the proposed algorithm, the vertical gradient of the clustered depth map is used to find the flat regions and variable-sized bounding boxes are used to extract the ROIs on t...

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Bibliographic Details
Published in:2014 International SoC Design Conference (ISOCC) pp. 156 - 157
Main Authors: Mesmakhosroshahi, Maral, Kwang-Hoon Chung, Yunsik Lee, Joohee Kim
Format: Conference Proceeding
Language:English
Published: IEEE 01-11-2014
Subjects:
advanced driver assistance
Estimation
Industries
pedestrian detection
ROI generation
stereo vision
Online Access:Get full text
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Summary:In this paper, we present a novel region of interest (ROI) generation method for stereo-based pedestrian detection systems. In the proposed algorithm, the vertical gradient of the clustered depth map is used to find the flat regions and variable-sized bounding boxes are used to extract the ROIs on the boundary of these regions. The ROIs are then classified into the pedestrian and non-pedestrian classes. Simulation results show that our proposed algorithm outperforms the existing monocular and stereo-based methods.
DOI:10.1109/ISOCC.2014.7087674