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5 results on '"Wang, Tong-yao"'

3. The Design of Single LED Indoor Positioning System based on Marked LED

Author

WANG Tong-yao, XIAO Chun-xian, LIN Zuo-jun, and CHENG Han

Subjects
single LED indoor positioning system, LED, geometric features, azimuth angle, Applied optics. Photonics, TA1501-1820
Abstract

The visible light positioning system is the hot spot of current indoor positioning technology research. Aiming at the problem of inaccurate azimuth angle acquisition in single-lamp positioning system, this paper proposes a single Light Emitting Diode (LED) indoor positioning system based on marked LED. The scheme uses a single LED light with a non-flickering lamp bead as the transmitter to transmit information while realizing the lighting function. The smartphone acts as the receiver to capture images with bright and dark stripes, and obtain the azimuth angle by combining the geometric features of the projection and processing the algorithm. Then the position of the receiver is obtained by further calculation. The results show that in the actual application scenario, when the experimental heights are 1.75 and 1.45 m. The system can achieve average positioning errors of 6.9 and 6.5 cm, which verifies the feasibility and effectiveness of the scheme.

Published
2022
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5. The motion detection based on background difference method and active contour model

Author

Wang Tong-yao

Subjects
Active contour model, Level set method, Computer science, business.industry, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Motion detection, Image segmentation, Object detection, Edge detection, Robustness (computer science), Computer vision, Artificial intelligence, business
Abstract

For the traditional moving target detection algorithm exists some problems such as determining threshold problems and more sensitive to noise, this paper presents a rapid extraction method based on variation level set of the edge blur moving objects. This method used the background difference method extract initial outline of moving target, and then used active contour model constraint edge detection; the final combined variation level set method with a second evolution to obtain accurate image segmentation. Experiments show that this method can rapidly and accurately segment moving object, for moving objects of different shapes and the rules of small-angle shot has a good adaptability and robustness.

Published
2011

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