An Adaptive DoubleThresholds Algorithm of Detecting Moving Objects
[1]ZHANGZhen,LI Dan-dan.An Adaptive DoubleThresholds Algorithm of Detecting Moving Objects[J].Journal of Zhengzhou University (Engineering Science),2013,34(06):6-9,19.[doi:10.3969/j.issn.1671-6833.2013.06.002]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34卷
Number of periods:
2013 06
Page number:
6-9,19
Column:
Public date:
2013-12-30
- Title:
- An Adaptive DoubleThresholds Algorithm of Detecting Moving Objects
- Keywords:
- double thresholds; motion object mask; functional chain neural network; moving object detection
- CLC:
- TN911.23
- DOI:
- 10.3969/j.issn.1671-6833.2013.06.002
- Abstract:
- Due to the environmental change of the noise，different weather conditions andillumination，which influence the results of movingobject detection，thispaperproposed an adaptive double thresholds motionobiect mask algorithm．Toimprove the rate of motive vehicle recognition，this novel method first used multiple’ frame average algorithm to initialize the background，and adopted functional chain neural network method to uDdate thetwoof high andlow thresholds dynamically，which can adjust to changeable illumination automatic‘ 1y．According to the motion mask algorithm，the region of the foreground and background wasidentified and the currentbackgroundwasupdated．Then the region of the foreground object could be attained by dynamic double thresholds background difference method．Combined with the mathematical morphology method，much shadowwasdeleted and the foregroundobject wasrecognized correctly．The experimental results demonstrated that this detectingalgorithmwasmore accurate and robust．
- References:
-
[1] DONOHO D L. Compressed sensing [ J].IEEE Trans-actions on Information Theory ，2006，52(4): 1289 -1306.[2] CANDES E，TAO T. Near optimal signal recoveryfrom random projection: universal encoding strategies ?[ J].IEEE Transactions on Information Theory , 2006,52( 12):5406 - 5425.[3] BAJWA WAHEED U，HAUPT J，SAYEED A M.Compressed channel sensing : a new approach to esti-mating sparse multipath channels [ J ].Proceeding ofthe IEEE，2010,98(6):1058 - 1076.
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Last Update:
1900-01-01