Sentence examples for motion and object from inspiring English sources

We present a novel multi-frame structure from motion algorithm in which camera motion and object structure are calculated from optical flow probability distributions instead of a single optical flow estimate at each feature point.

It is known both from electrical recordings and from the study of patients with localized brain damage that different parts of the cerebral cortex abstract different features of the image; colour, depth, motion, and object identity all have "modules" of cortex devoted to them.

By the addition of lenses, precise calibration of camera internals and positioning, and development of bespoke software, we turn an infrared depth sensor designed for human-scale motion and object detection into a device with mm-level accuracy capable of recording at up to 30Hz.

More theoretically, our approach searches for multiple words likely to be generated from the motion and object categories by using the action language model; and subsequently searches for a sequence of these words that is likely to be generated from the obtained words, using the natural language model.

Co-evolution of motion and object, we further propose, suggests the pedagogical merit of indirect instruction in embodied interaction learning environments.

Though the infant is capable of representing its environment in a particular way that explains its expectations regarding object motion and object persistence, the fact that such representations are domain-specific suggests that this characteristic of conceptual thought is violated.

Newton's first law of motion states that objects in motion tend to stay in motion (and objects at rest tend to stay at rest).

Sudden loud noises, abrupt luminosity changes, rapid irregular motion and objects fast growing in your visual field are among the triggers of fight-or-flight.

The results show the successful occlusion and motion discontinuity detection of a real sequence with translational self motion and objects at different distances.

Thus, a meaningful semantic description is obtained in terms of human motions and object properties.

Future studies playing off central and peripheral cues to self-motion and object motion will be needed to verify these hypotheses.