[1]ZHOU Zhiping,LI Wenhui.Detection for moving targets based on color and texture features[J].CAAI Transactions on Intelligent Systems,2015,10(5):729-735.[doi:10.11992/tis.201408034]
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Detection for moving targets based on color and texture features

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 5 Page number: 729-735 Column: 学术论文—机器感知与模式识别 Public date: 2015-10-25
Title:
Detection for moving targets based on color and texture features
Author(s):
ZHOU Zhiping;  LI Wenhui
School of Internet of Things, Jiangnan University, Wuxi 214122, China
Keywords:
moving target detection; color feature; texture feature; shadow detection; model update
CLC:
TP751
DOI:
10.11992/tis.201408034
Abstract:
An algorithm utilizing RGB color features and scale invariant local ternary patterns is presented for sol-ving the difficulty of detecting moving targets in complex scenes. The time-domain median method was adopted to estimate background image and initialize background model quickly. By fusing similarity measures of color and tex-ture features, a background probability network was obtained. The application of lateral inhibition filtering improved the contrast, the foreground and background pixels were classified, and shadow detection worked for the foreground pixels. The shadow pixels were classified as background pixels but not used for the model update. The performance of the proposed algorithm was compared with the other three algorithms in the change detection database. The proposed method can accurately handle scenes containing moving backgrounds, shadows, and camera jitter, with ac-ceptable real-time performance.
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Last Update: 2015-11-16

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