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Content Provider | IEEE Xplore Digital Library |
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Author | Honghua Wang Hui Zhang |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Comput. Sicence & Eng., Huaiyin Inst. of Technol., Huaian, China (Honghua Wang; Hui Zhang) |
Abstract | Traditional methods for positioning accuracy is not high and takes long time consuming problem. A real-time positioning algorithm is proposed based on improved median filter people trapped in the thick fog. first of all, Visual zoning of heavy fog environment is initialized, after initialization operation, to average filtering processing of heavy fog environment, and the heavy fog in the environment is not peer pixel jump frequency statistics, jump times lower than 15 of the heavy fog image is the background region, over 15 line is stranded the personnel of the pixel area. And introducing spatial location parameters, calculate the location coordinates of people trapped in the thick fog, the prior edge detection method with the aid of edge number of regional characteristics gets the accurate location of people trapped in thick fog. The experimental results shows that the improved method than the traditional positioning method is high positioning accuracy, short time consuming, strong real-time performance and broad application space. |
Starting Page | 219 |
Ending Page | 221 |
File Size | 1594095 |
Page Count | 3 |
File Format | |
e-ISBN | 9781479969890 |
DOI | 10.1109/WARTIA.2014.6976236 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-29 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computers Heavy Fog interference Accuracy Filtering Average filtering Interference Filtering algorithms Real-time systems Personnel Real-time positioning People trapped |
Content Type | Text |
Resource Type | Article |
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