A fast moving object detection method based on 2D laser scanner and infrared camera

Lina Zeng; Meng Ding; Tianci Zhang; Zejun Sun

doi:10.1117/12.2202698

8 October 2015 A fast moving object detection method based on 2D laser scanner and infrared camera

Lina Zeng, Meng Ding, Tianci Zhang, Zejun Sun

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96752K (2015) https://doi.org/10.1117/12.2202698
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

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.

Citation Download Citation

Lina Zeng, Meng Ding, Tianci Zhang, and Zejun Sun "A fast moving object detection method based on 2D laser scanner and infrared camera", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752K (8 October 2015); https://doi.org/10.1117/12.2202698

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