NDLI: Rapid and precise object detection based on color histograms and adaptive bandwidth mean shift

Content Provider	IEEE Xplore Digital Library
Author	Xiaopeng Chen Qiang Huang Peng Hu Min Li Ye Tian Chen Li
Copyright Year	2009
Description	Author affiliation: Hitech Innovation Center, Chinese Academy of Sciences, Beijing, 100193, China (Peng Hu) \|\| School of Mechatronics, Beijing Institute of Technology, 100081, China (Xiaopeng Chen; Qiang Huang; Min Li; Ye Tian; Chen Li)
Abstract	Speed and precision are important for object detection algorithms. In this paper, a novel object detection algorithm based on color histogram and adaptive bandwidth mean shift is proposed. The algorithm is capable of detecting objects rapidly and precisely. It is composed of two stages: a rough detection stage and a precise detection stage. At the rough detection stage, histogram back projection and thresholding are applied to fast object identification and rough global localization. At the precise detection stage, the precise position, size and orientation are derived under the adaptive bandwidth mean shift framework. Experiments verify that the algorithm is able to detect the size, position and orientation of general objects rapidly and precisely.
Starting Page	4281
Ending Page	4286
File Size	372757
Page Count	6
File Format	PDF
ISBN	9781424438037
DOI	10.1109/IROS.2009.5354739
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object detection Histograms Bandwidth Computer vision Robot vision systems Intelligent robots Pixel Scattering Adaptive filters Object recognition
Content Type	Text
Resource Type	Article

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