Visual object tracking comprises a spectrum of methodologies designed to locate and follow a target’s position across sequential video frames. Over the years, the field has developed from ...

Researcher and PhD student Zdenek Kalal has developed a groundbreaking visual object tracking algorithm called Predator. This innovative system is capable of learning and improving its accuracy as ...

MIT neuroscientists compared the visual object recognition performance of primate brains to that of the latest deep neural networks, which try to mimic our visual system. They found that the best ...

Researchers at the University of Oregon and Harvard Medical School have found evidence that human brains do a kind of baton-pass between hemispheres when tracking moving objects.

Visual 3D Tracking of Multiple Objects If two cameras are employed to estimate the trajectories of identical appearing objects, calculating stereo and temporal correspondences leads to an NP-hard ...

The innovations address multi-object tracking, a process used by robotic systems to track the position and motion of objects – including vehicles, pedestrians and cyclists – to plan the path of ...

Visual tracking of tiny objects in cluttered environments Image-based tracking of animals in their natural habitats can provide rich behavioural data, but is very challenging due to complex and ...

The model-guided search for root material arising from the adoption of a visual-tracking framework makes RooTrak less sensitive to the natural ambiguity of x-ray attenuation data.

Traditionally, objects of attention are characterized either as full-fledged entities or either as elements grouped by Gestalt principles. Because humans appear to use social groups as units to ...