Predicting multiple feature locations for a class of dynamic image sequences
作者:
Highlights:
•
摘要
A major problem in motion analysis is the tracking of features when they are occluded by other objects within the scene, or when noise in the image causes poor detection rates. A new method is presented whereby several missing points on many feature trajectories may be predicted given a long image sequence. This is achieved using a smoothness of motion criterion.
论文关键词:Smoothness of motion,occlusion algorithm,hermite curves
论文评审过程:Available online 10 June 2003.
论文官网地址:https://doi.org/10.1016/0262-8856(90)90065-D