Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Mathematical Model for Computer Image Tracking
54
Zitationen
2
Autoren
1982
Jahr
Abstract
A mathematical model using an operator formulation for a moving object in a sequence of images is presented. Time-varying translation and rotation operators are derived to describe the motion. A variational estimation algorithm is developed to track the dynamic parameters of the operators. The occlusion problem is alleviated by using a predictive Kalman filter to keep the tracking on course during severe occlusion. The tracking algorithm (variational estimation in conjunction with Kalman filter) is implemented to track moving objects with occasional occlusion in computer-simulated binary images.
Ähnliche Arbeiten
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 · 75.502 Zit.
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
2017 · 21.612 Zit.
Multiple View Geometry in Computer Vision
2004 · 20.688 Zit.
Snakes: Active contour models
1988 · 17.008 Zit.
Nonlinear Dimensionality Reduction by Locally Linear Embedding
2000 · 14.984 Zit.