Next Article in Journal
Design and Implementation of Foot-Mounted Inertial Sensor Based Wearable Electronic Device for Game Play Application
Previous Article in Journal
Fine-Scale Population Estimation by 3D Reconstruction of Urban Residential Buildings
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(10), 1758;

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

School of Optoelectronics, Image Engineering & Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China
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
Received: 3 August 2016 / Revised: 20 September 2016 / Accepted: 20 September 2016 / Published: 21 October 2016
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [3299 KB, uploaded 21 October 2016]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top