Tracking coherent pattern motion 'through feature space'

Memory-guided tracking through physical space and feature space.

People can estimate the current position of an occluded moving target. This is called motion extrapolation, and it has been suggested that the performance in such tasks is mediated by the smooth-pursuit system. Experiment 1 contrasted a standard position extrapolation task with a novel number extrapolation task. In the position extrapolation task, participants saw a horizontally moving target b...

Motion analysis by feature tracking

We have developed a two-stage model of motion perception that identifies moving spatial features and computes their velocity, achieving both high spatial localisation and reliable estimates of velocity. Features are detected in each frame by locating the peaks of the spatial local energy functions, as for stationary images (Morrone MC and Burr DC. Proc R Soc Lond 1988;B235:221-245.). The energy...

Second-order motion discrimination by feature-tracking

When a plaid pattern (the sum of two high spatial frequency gratings oriented +/- 84 degrees from vertical) jumps horizontally by 3/8 of its spatial period its contrast envelope, a second-order pattern, moves in the opposite direction to its luminance waveform. Observers report that the pattern moves in the direction of the contrast envelope when the jumps are repeated at intervals of more than...

Improving feature tracking using motion sensors

Porting state-of-the-art computer vision algorithms to mobile devices is a difficult, but desirable task. Indeed, some applications require mobility, like augmented reality. However, running an application in real time may be tricky given the limited resources available on a mobile device. This is why the algorithms may need to be downscaled or simplified. A typical augmented reality pipeline i...

Motion Tracking of Dense Feature Point Sets