In estimating multiple image motions, a central problem is that 2D motion estimation and region segmentation are mutually dependent. This paper presents a new region description method for dealing with this mutual dependence problem. Segmentation and motion esiimation are simultaneously performed by a clustering process based on color, motion, and pixel position. As a result of the clustering, ...

In order to control the motion of a mobile robot, it is necessary to have accurate egomotion parameters. In addition, egomotion parameters are useful in determining environmental depth and structure. We present a computationally inexpensive method that rapidly and robustly determines both the translational vector and rotational component of robot motion through the use of an active camera. We e...

A new Actuator State Based Adaptive (ASBA) motion drive algorithm was developed. In contrast to classical motion drive algorithms a subset of the motion drive parameters are time varying. The ASBA algorithm uses the steepest descent algorithm to adapt these parameters to minimize a pre-defined cost function. The cost function contains penalties on motion cue errors, simulator motion, and the di...

We introduce a low-level description of image motion called the local translational decomposition (LTD). This description associates with image features or small image areas , a three-dimensional unit vector describing the direction of motion of the corresponding environmental feature or small surface area. The local translational decomposition is derived by applying a procedure for processing ...

We present a new motion representation and estimation scheme that leads to improved coding eeciency of block-based video coders like e.g. H.263. The proposed scheme is based on motion-compensated prediction from more than one reference frame. The reference pictures are warped versions of the previously decoded frame. AAne motion parameters are used as warping parameters approximating the motion...

Character animations produced with motion capture data have many of the stylistic details seen in human motion while those generated with simulation are physically realistic for the dynamic parameters of the character. We combine these two approaches by tracking and modifying human motion capture data using dynamic simulation and constraints. The tracking system generates motion that is appropr...