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Proceedings Paper

A fast moving object detection method based on 2D laser scanner and infrared camera
Author(s): Lina Zeng; Meng Ding; Tianci Zhang; Zejun Sun
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Paper Abstract

Moving object detection is a major research direction of video surveillance systems. This paper proposes a novel approach for moving object detection by fusing information from the laser scanner and infrared camera. First, in accordance with the feature of laser scanner data, we apply robust principal component analysis (RPCA) to studying moving object detection. Then the depth and angle information of moving objects is mapped to the infrared image pixels so as to obtain the regions of interest (ROI). Finally, moving objects can be recognized by making investigation of the ROI. Experimental results show that this method has good real-time performance and accuracy.

Paper Details

Date Published: 8 October 2015
PDF: 5 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752K (8 October 2015); doi: 10.1117/12.2202698
Show Author Affiliations
Lina Zeng, Nanjing Univ. of Aeronautics and Astronautics (China)
Meng Ding, Nanjing Univ. of Aeronautics and Astronautics (China)
Tianci Zhang, Nanjing Univ. of Aeronautics and Astronautics (China)
Zejun Sun, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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