A framework for spatiotemporal control in the tracking of visual contours
作者:Andrew Blake, Rupert Curwen, Andrew Zisserman
摘要
There has been a great deal of research interest in contour tracking over the last five years. This article combines themes from tracking theory—elastic models and stochastic filtering—with the notion of affine invariance to synthesize a substantially new and demonstrably effective framework for contour tracking.
论文关键词:Spatial Scale, Tracking Performance, Feature Search, Memory Mode, Tracking Process
论文评审过程:
论文官网地址:https://doi.org/10.1007/BF01469225