Emotion recognition has attracted major attention in numerous fields because of its relevant
applications in the contemporary world: marketing, psychology, surveillance, and …

Two-dimensional image motion is the projection of the three-dimensional motion of objects,
relative to a visual sensor, onto its image plane. Sequences of time-orderedimages allow the …

The accuracy of optical flow estimation algorithms has been improving steadily as
evidenced by results on the Middlebury optical flow benchmark. The typical formulation …

While different optical flow techniques continue to appear, there has been a lack of
quantitative evaluation of existing methods. For a common set of real and synthetic image …

Most approaches for estimating optical flow assume that, within a finite image region, only a
single motion is present. Thissingle motion assumptionis violated in common situations …

This book really shows how registration works: the flip-book appearing at the top right
corners shows a registration of a human knee from bent to straight position (keeping bones …

A greyscale-based fully automatic deformable image registration algorithm, originally known
as the'demons' algorithm, was implemented for CT image-guided radiotherapy. We …

Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …

We introduce a new technique for estimating the optical flow field, starting from image
sequences. As suggested by Fleet and Jepson (1990), we track contours of constant phase …