Motion

The present study examined whether differential motion could influence the spread of attention across an object. In particular, we examined whether the type of motion exhibited by an object would impact the reaction time in which a participant made a judgement on the location of a target or the accuracy of their judgment. We did not find significant effects of motion type upon reaction time. We did find that accuracy was significantly greater for validly cued targets than for invalidly cued targets. Further investigation may be needed to demonstrate the impact of motion upon the spread of attention across an object.

A 4N-dimensional formalism is developed and a corresponding space is found.
The necessity of coupling the particle's proper times to one parameter is
discussed. The appropriate conditions and constraints which relate this
space to the ordinary 4-space are found. The transformation properties which
are consistent with general 4-space transformations are determined. These
transformation properties are used to determine the form of the 4x4 matrices
making up the 4N-dimensional metric tensor. The form of these matrices
indicates they represent interactions between particles. The diagonal
matrices are shown to represent gravitational interaction and the off-diagonal
matrices to represent other interparticle interactions. A metric theory to
cover all interparticle interactions is then proposed. The equations of
motion for one particle in this 4N-dimensional space are found. These
equations are then related to the motion of N interacting particles in 4- space .
Finally, an approximation procedure is applied to determine the first order
equations of motion.

This thesis is concerned with the estimation of motion parameters of planar-object surfaces viewed with a binocular camera configuration. Possible application of this method includes autonomous guidance of a moving platform (AGVS) via imaging, and segmentation of moving objects by the use of the information concerning the motion and the structure. The brightness constraint equation is obtained by assuming the brightness of a moving patch as almost invariant. This equation is solved for single camera case as well as binocular camera case by knowing values of the surface normal or by iteratively determining it using the estimates of motion parameters. For this value of the surface normal, rotational and translational motion components are determined over the entire image using a least squares algorithm. This algorithm is tested for simulated images as well as real images pertaining to a single camera as well as binocular camera situations. (Abstract shortened with permission of author.)

The present research was designed to test whether 3-year-old-English-speaking children preferentially associate novel nouns with intrinsic motion rather than extrinsic motion, as predicted by the theory of Kersten (1998). Intrinsic motion refers to the ways the parts of an object move in relation to one another. In contrast, extrinsic motion refers to the motion of an object as a whole with respect to an external reference point (e.g. another object). In two separate experiments, we demonstrated that nouns are associated with intrinsic motion and verbs are associated with extrinsic motion. Specifically, children were able to detect differences between stimuli paired with novel nouns based on intrinsic motion and stimuli paired with novel verbs based on extrinsic motion. In other words, we shed light on the different motion cues children attend to when learning nouns and verbs. Thus, children utilize motion cues in addition to static characteristics when learning nouns and verbs. Therefore, distinct types of motion information play an important role in the learning of nouns and verbs.