Journal article Open Access

A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient

HU Keli; FAN En; YE Jun; SHEN Shigen; GU Yuzhang

The weight of the truth, indeterminacy, and falsity membership under the neutrosophic framework may be different when dealing with different problems. Due to this, a component weighted cosine similarity coefficient was proposed, and it was introduced into the mean shift tracking algorithm.

Files (3.7 MB)
Name Size
AScaleAdaptiveVisual.pdf
md5:7c5249a158b637a109bc6b205f27e8eb
3.7 MB Download
6
7
views
downloads
All versions This version
Views 66
Downloads 77
Data volume 26.0 MB26.0 MB
Unique views 66
Unique downloads 77

Share

Cite as