NDLI: Stereo based ROIs generation for detecting pedestrians in close proximity

Content Provider	IEEE Xplore Digital Library
Author	Meiqing Wu Siew-Kei Lam Srikanthan, T.
Copyright Year	2014
Description	Author affiliation: Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore, Singapore (Meiqing Wu; Siew-Kei Lam; Srikanthan, T.)
Abstract	Region of Interests (ROIs) generation plays a critical role in pedestrian detection systems. The challenge lies in generating as few ROIs as possible at low computational complexity, while ensuring none of the pedestrians in the scene are omitted. However, existing ROIs generation methods either result in a large number of irrelevant ROIs or are compute-intensive. In addition, distinguishing pedestrians who are in close proximity is still a big challenge. In this paper, we propose an efficient stereo based ROIs generation method that is based on a two-level incremental segmentation strategy. An adaptive strategy is first employed to identify a minimal set of clusters from the u-disparity image. The initial clusters are then further refined to distinguish pedestrians in close proximity. Experimental results based on a challenging benchmark show that the proposed algorithm outperforms two state-of-art baseline algorithms by being able to distinguish pedestrians in close proximity with a small number of ROIs.
Starting Page	1929
Ending Page	1934
File Size	801663
Page Count	6
File Format	PDF
ISBN	9781479960781
DOI	10.1109/ITSC.2014.6957988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Labeling Roads Intelligent vehicles Stereo vision Vehicles Clustering algorithms
Content Type	Text
Resource Type	Article

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