A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score is popular PDF and ePub book, written by Keli Hu in 2024-06-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score can be Read Online from any device for your convenience.
A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score Book PDF Summary
Foreground detection is a task for detecting the moving objects in the scene like in video surveillance. Several basic background models are often used due to their high efficiency. However, their results are not good when there exists noisy information generated by the bad weather, camera jitter, etc. Neutrosophic set (NS) is as a new branch of philosophy dealing with the origin, nature and scope of neutralities. It has an inherent ability to handle the indeterminant information like the noise included in images and video sequences.
Detail Book of A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score PDF
- Author : Keli Hu
- Release : 30 June 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 10 pages
- Language : English
- PDF File Size : 14,7 Mb
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