Adaptive Search-based Hierarchical Motion Estimation using Spatial Priors
نویسندگان
چکیده
Since motion estimation via block matching is an ill-posed problem, it requires the use of smoothness constraints to regularize the motion field. The block matching error and smoothness constraints together form an energy expression to be minimized. Motion vectors (MVs) from a candidate set are used to determine which MV minimizes the overall energy. These MVs, which may consist of spatial or temporal MVs, determine the quality of the motion field. Therefore, to ensure a high-quality motion field, we propose a new method to improve the quality of the MVs. The proposed method uses a novel approach to incorporate prior spatial MVs into block matching. By incorporating these MVs into block matching, we significantly reduce the size of the candidate set and improve the quality of the motion field.
منابع مشابه
Adaptive search area for fast motion estimation
In this paper a new method for determining the search area for motion estimation algorithm based on block matching is suggested. In the proposed method the search area is adaptively found for each block of a frame. This search area is similar to that of the full search (FS) algorithm but smaller for most blocks of a frame. Therefore, the proposed algorithm is analogous to FS in terms of reg...
متن کاملAn Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising
MRI is one of the most powerful techniques to study the internal structure of the body. MRI image quality is affected by various noises. Noises in MRI are usually thermal and mainly due to the motion of charged particles in the coil. Noise in MRI images also cause a limitation in the study of visual images as well as computer analysis of the images. In this paper, first, it is proved that proba...
متن کاملHierarchical locally adaptive multigrid motion estimation for surveillance applications
In this communication we address the problem of detection and tracking of moving objects for surveillance or occupant detection systems. The primary goal in this framework is the motion estimation of the extracted foreground. To overcome the drawbacks characteristic of classical block matching techniques, this contribution presents a new feature based hierarchical locally adaptive multigrid (HL...
متن کاملHierarchical Motion Estimation Using Recursive LMS Filters
In this paper, we present a hierarchical motion estimation algorithm that is based on adaptive LMS filters. The algorithm is an extension of an earlier work [1], which uses an adaptive 2−D LMS filter to match the intensity values while passing through the image pixels according to a Hilbert scanning pattern, the algorithm adapts the corresponding set of FIR coefficients. The peak value in the r...
متن کاملNew adaptive interpolation schemes for efficient meshbased motion estimation
Motion estimation and compensation is an essential part of existing video coding systems. The mesh-based motion estimation (MME) produces smoother motion field, better subjective quality (free from blocking artifacts), and higher peak signal-to-noise ratio (PSNR) in many cases, especially at low bitrate video communications, compared to the conventional block matching algorithm (BMA). Howev...
متن کامل