3-D motion estimation of rigid objects for video coding applications using an improved iterative version of the E-matrix method

As an alternative to current two-dimensional (2-D) motion models, a robust three-dimensional (3-D) motion estimation method is proposed to be utilized in object-based video coding applications, Since the popular E-matrix method is well known for its susceptibility to input errors, a performance indicator, which tests the validity of the estimated 3-D motion parameters both explicitly and implicitly, is defined. This indicator is utilized within the RANSAC method to obtain a robust set of 2-D motion correspondences which leads to better 3-D motion parameters for each object, The experimental results support the superiority of the proposed method over direct application of the E-matrix method.


Guenyel, Bertan; Alatan, Abdullah Aydın (2010-09-29)
A multi-resolution motion estimation scheme is proposed for tracking of the true 2D motion in video sequences for motion compensated image interpolation. The proposed algorithm utilizes frames with different resolutions and adaptive block dimensions for efficient representation of motion. Firstly, motion vectors for each block are assigned as a result of predictive search in each pass. Then, the outlier motion vectors are detected and corrected at the end of each pass. Simulation results with respect to dif...
Turetken, Engin; Alatan, Abdullah Aydın (2009-05-06)
A new region-based depth ordering algorithm is proposed based on the segmented motion layers with affine motion models. Starting from an initial set of layers that are independently extracted for each frame of an input sequence, relative depth order of every layer is determined following a bottom-to-top approach from local pair-wise relations to a global ordering. Layer sets of consecutive time instants are warped in two opposite directions in time to capture pair-wise occlusion relations of neighboring lay...
Correlation tracking based on wavelet domain information
Ipek, HL; Yilmaz, I; Yardimci, YC; Cetin, AE (2003-08-07)
Tracking moving objects in video can be carried out by correlating a template containing object pixels with pixels of the current frame. This approach may produce erroneous results under noise. We determine a set of significant pixels on the object by analyzing the wavelet transform of the template and correlate only these pixels with the current frame to determine the next position of the object. These significant pixels are easily trackable features of the image and increase the performance of the tracker.
Recursive Prediction for Joint Spatial and Temporal Prediction in Video Coding
Kamışlı, Fatih (2014-06-01)
Video compression systems use prediction to reduce redundancies present in video sequences along the temporal and spatial dimensions. Standard video coding systems use either temporal or spatial prediction on a per block basis. If temporal prediction is used, spatial information is ignored. If spatial prediction is used, temporal information is ignored. This may be a computationally efficient approach, but it does not effectively combine temporal and spatial information. In this letter, we provide a framewo...
3-d time-varying scene capture technologies - A survey
STOYKOVA, Elena; Alatan, Abdullah Aydın; BENZİE, Philip; GRAMMALİDİS, Nikos; MALASSİOTİS, Sotiris; OSTERMANN, Joern; PİEKH, Sergej; Sainov, Ventseslav; THEOBALT, Christian; THEVAR, Thangavel; ZABULİS, Xenophon (2007-11-01)
Advances in image sensors and evolution of digital computation is a strong stimulus for development and implementation of sophisticated methods for capturing, processing and analysis of 3-D data from dynamic scenes. Research on perspective time-varying 3-D scene capture technologies is important for the upcoming 3DTV displays. Methods such as shape-from-texture, shape-from-shading, shape-from-focus, and shape-from-motion extraction can restore 3-D shape information from a single camera data. The existing te...
Citation Formats
A. A. Alatan, “3-D motion estimation of rigid objects for video coding applications using an improved iterative version of the E-matrix method,” IEEE SIGNAL PROCESSING LETTERS, pp. 36–38, 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42961.