Motion capture devices have been utilized in producing several contents, such as movies and video games. However, since motion capture devices are expensive and inconvenient to use, motions segmented from captured data was recycled and synthesized to utilize it in another contents, but the motions were generally segmented by contents producers in manual. Therefore, automatic motion segmentation...

This paper proposes a novel algorithm to solve the problem of segmenting foreground-moving objects from the background scene. The major cue used for object segmentation is the motion information, which is initially extracted from MPEG motion vectors. Since the MPEG motion vectors are generated for simple video compression without any consideration of visual objects, they may not correspond to t...

Accurate interpretations of image require the segmentation of motion signals produced by different objects with the simultaneous integration of motion signals produced by the same object. We investigated a motion integration paradigm in which the direction of an object's motion could only be determined from an integration of motion signals across the disconnected object edges. In a series of ex...

This paper presents a new inverse kinematics method that utilizes the motion data for realtime control and editing. The key idea is to extract parameters necessary for inverse kinematics from the motion data. These parameters are the weight matrix, which determines the motion of the redundant joints, and the transformation functions that define the motion of the end effectors. User can control ...

In this paper, an edge segment based tracking algorithm, which is capable of identifying moving objects in image sequence, is proposed. Since segmenting objects from a sequence image are not easy, traditional object tracking algorithms fetch difficulty due to large variation of object shape, orientation, motion and size among frames. One object may consist of several parts with different motion...

This paper addresses the problem of image segmentation using motion and luminance information. We use the dominant motion model to calculate both the background and foreground motion in a robust estimation framework and then combine it with the result of static segmentation using the watershed algorithm to segment the foreground from the background. In this paper, the previous pixelbased (or ov...

Methods Patients with initial STEMI were enrolled in a prospective imaging registry. CMR (1.5T) was performed within 6 weeks (27±8 days) post-STEMI. Cine-CMR (SSFP) was used to assess LV wall motion (17 segment model, 5 point per-segment score) DE-CMR (IR-GRE, acquired 10-30 minutes post gadolinium [0.2 mmol/kg]) was used to assess infarct morphology: PMI was graded for location and extent (par...