文章基本信息

标题：Lightness Pretreatment with Pedestrian Detection Studies Using CH&K Algorithm for a Night Environment
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作者：Jun-Gyu Park ; Dae-Seong Kang
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2015
卷号：9
期号：7
页码：9-16
DOI：10.14257/ijsh.2015.9.7.02
出版社：SERSC
摘要：This paper presents a real-time pedestrian detection algorithm for a night environment. By first converting the nighttime image data to the L * a * b * color space, it can be extracted in the area L * with robust noise reduction and contrast adjustment. This data is used to generate pre-data through image subtraction. A background image is generated using the data, and the Cascade Histogram of Oriented Gradient &Kalman filter (CH & K) algorithm is proposed to track the movement of pedestrians. In addition, pre-processing algorithms and the proposed algorithm can replace Histograms of Oriented Gradients (HOGs) with rather heavy computations, and sensitive Haar-like features in the night can be used for real-time pedestrian detection and brightness.
关键词：L*a*b*; CH&K (Cascade Histogram of Oriented Gradient &Kalman ; filter); Histograms of oriented gradient (HOGs); Haar-like features; Cascade