Optical flow estimation combining with objects edge features
نویسندگان
چکیده
منابع مشابه
Moving Objects Segmentation Using Optical Flow Estimation
In this paper, we present a new method for the segmentation of moving objects. We use one of the most powerful variational method for computing the optical flow and we exploit this information in the segmentation. This segmentation lies on well-known techniques of active contours. Since we can distinguish moving objects from static elements of a scene by analyzing norm of the optical flow vecto...
متن کاملOptical Flow Estimation Using Local Features
The computation of optical flow by the differential method imposes additional constraints to the one already imposed in the derivation of the optical flow equation. Consequently, the computation of optical flow using differential methods is computationally expensive especially for devices such as mobile phones, which have low processing power. In this work, we propose an optical flow computatio...
متن کاملRobust optical flow estimation using semi-invariant local features
This paper presents a robust algorithm for computation of 2-D optical flow using the principle of conservation of a set of invariant local features that are representatives of local gray-level properties in an image. Specifically, a set of rotation-invariant local orthogonal Zernike moments is used as invariant features. These are inherently integral-based features, and therefore are expected t...
متن کاملOptical Flow and Deformable Objects
When a plane undergoes a deformation that can be represented by a planar linear vector eld, the projected vector eld on the image plane of an optical device is at most quadratic. This 2D motion eld has one singular point, with eigenvalues identical to those of the singular point describing the deformation. As a consequence, the nature of the singular point of the deformation is a projective inv...
متن کاملOptical Flow Estimation
This chapter provides a tutorial introduction to gradientbased optical flow estimation. We discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different forms of parametric motion models, different conservation assumptions, probabilistic formulations, and robust mixture models.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics Letters
سال: 2020
ISSN: 0013-5194,1350-911X
DOI: 10.1049/el.2020.0578