Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/81425
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Type: Journal article
Title: Note: An object detection method for active camera
Author: Chen, Y.
Zhang, R.
Shang, L.
Hu, E.
Citation: Review of Scientific Instruments, 2013; 84(9):1-4
Publisher: Amer Inst Physics
Issue Date: 2013
ISSN: 0034-6748
1089-7623
Statement of
Responsibility: 
Yong Chen, Ronghua Zhang, Lei Shang, and Eric Hu
Abstract: To solve the problems caused by a changing background during object detection in active camera, this paper proposes a new method based on SURF (speeded up robust features) and data clustering. The SURF feature points of each image are extracted, and each cluster center is calculated by processing the data clustering of k adjacent frames. Templates for each class are obtained by calculating the histograms within the regions around the center points of the clustering classes. The window of the moving object can be located by finding the region that satisfies the histogram matching result between adjacent frames. Experimental results demonstrate that the proposed method can improve the effectiveness of object detection.
Rights: © 2013 AIP Publishing LLC
RMID: 0020132199
DOI: 10.1063/1.4821875
Published version: http://scitation.aip.org/content/aip/journal/rsi/84/9/10.1063/1.4821875
Appears in Collections:Mechanical Engineering publications

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