Author : Keli Hu,Wei Hu,Jun Ye,Liping Zhao,Hua Peng,Jiatian Pi
Publisher : Infinite Study
Page : 24 pages
File Size : 55,8 Mb
Release : 2024-07-03
Category : Mathematics
ISBN : 8210379456XXX
Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity-Based Objectness Estimation by Keli Hu,Wei Hu,Jun Ye,Liping Zhao,Hua Peng,Jiatian Pi Pdf
An online neutrosophic similarity-based objectness tracking with a weighted multiple instance learning algorithm (NeutWMIL) is proposed. Each training sample is extracted surrounding the object location, and the distribution of these samples is symmetric. To provide a more robust weight for each sample in the positive bag, the asymmetry of the importance of the samples is considered. The neutrosophic similarity-based objectness estimation with object properties (super straddling) is applied.