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Open AccessArticle

Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder

1
School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China
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Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2016, 16(10), 1758; https://doi.org/10.3390/s16101758
Received: 3 August 2016 / Revised: 20 September 2016 / Accepted: 20 September 2016 / Published: 21 October 2016
(This article belongs to the Section Physical Sensors)
During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as “frame difference” and “optical flow”, may not able to deal with the problem very well. In such scenarios, we use a modified algorithm to do the background modeling work. In this paper, we use edge detection to get an edge difference image just to enhance the ability of resistance illumination variation. Then we use a “multi-block temporal-analyzing LBP (Local Binary Pattern)” algorithm to do the segmentation. In the end, a connected component is used to locate the object. We also produce a hardware platform, the core of which consists of the DSP (Digital Signal Processor) and FPGA (Field Programmable Gate Array) platforms and the high-precision intelligent holder. View Full-Text
Keywords: moving object detection; background modeling; intelligent visual surveillance moving object detection; background modeling; intelligent visual surveillance
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Chen, S.; Xu, T.; Li, D.; Zhang, J.; Jiang, S. Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder. Sensors 2016, 16, 1758.

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