NDLI: Vehicles detection in complex urban traffic scenes using a nonparametric approach with confidence measurement

Content Provider	IEEE Xplore Digital Library
Author	Yunsheng Zhang Chihang Zhao Jie He Aiwei Chen
Copyright Year	2015
Description	Author affiliation: Coll. of Transp., Southeast Univ., Nanjing, China (Yunsheng Zhang; Chihang Zhao; Jie He; Aiwei Chen)
Abstract	Aiming to efficiently resolve the problem that the subtraction background model is easily contaminated by slow-moving or temporarily stopped vehicles in complex urban traffic scenes, a novel Nonparametric Approach with Confidence Measurement (NPCM) is proposed for vehicle detection in complex urban traffic scenes. According to the current traffic state, each pixel of the background model is assigned a confidence measurement. The foreground decision depends on an adaptive threshold and the background model update is based on whether the current pixel point is in confidence period. Using the real-world urban traffic videos, the overall results of the detection accuracy analyses demonstrate that the NPCM achieves better performance of quantitative evaluation than other state of the art methods. Not only the NPCM can accurately detect the slow-moving or temporarily stopped vehicles, but also the similarity and F-measures of the NPCM are over 0.839 and 0.912, higher than the other compared methods in traffic-light sequence of daytime, respectively. The experimental results show that the NPCM is effective and is suitable for the real-time implementation in vehicles detection of complex urban traffic scenes.
Starting Page	1
Ending Page	7
File Size	1006811
Page Count	7
File Format	PDF
e-ISBN	9781479969081
DOI	10.1109/IEMCON.2015.7344486
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-15
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Current measurement Confidence measurement Vehicle detection Background subtraction Robustness Complex Urban traffic scene Pollution measurement Mathematical model Nonparametric approach Vehicles
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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