A Statistical Model for Real-Time Video Moving Target Detection Based on Bayesian Statistics
2014 ◽
Vol 596
◽
pp. 394-397
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Keyword(s):
Video moving target detection is an important foundation issues in computer vision, based on the analysis of the advantages and disadvantages of each existing moving target detection model, using Bayesian statistical theory as a framework, proposes a statistical model that can detect moving objects in video in real-time. The model combines time, space and color and other relevant information of pixel, divides and extracts Video segmentation’s foreground. By selecting the appropriate reference background can improve the precision and accuracy of the detection.
2015 ◽
Vol 734
◽
pp. 203-206
Keyword(s):
2020 ◽
Vol 26
(5)
◽
pp. 295-301
Keyword(s):
2014 ◽
Vol 1006-1007
◽
pp. 787-791
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Keyword(s):
Keyword(s):
2016 ◽
Vol 14
(3A)
◽
pp. 229
Keyword(s):
2011 ◽
Vol 12
(1/2)
◽
pp. 22
Keyword(s):