In this paper we present a new method for categorizing
video sequences capturing different scene classes. This can
be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...
Tilke Judd, Krista Ehinger, Fr´edo Durand, Antoni...
We present a robust elastic and partial matching metric
for face recognition. To handle challenges such as pose, facial
expression and partial occlusion, we enable both elastic
...
This paper introduces an algorithm for detecting walking
motion using point trajectories in video sequences. Given
a number of point trajectories, we identify those which are
sp...
We present a novel representation for modeling textured
regions subject to smooth variations in orientation and
scale. Utilizing the steerable pyramid of Simoncelli and
Freeman ...
This paper addresses the problem of segmenting lowlevel
partial feature point tracks belonging to multiple motions.
We show that the local velocity vectors at each instant
of th...
One of the main limitations of image search based on
bag-of-features is the memory usage per image. Only a few
million images can be handled on a single machine in rea-
sonable ...
In this paper we explore the use of shapes of noses for
performing partial human biometrics. The basic idea is to
represent nasal surfaces using indexed collections of isocurves,...
Hassen drira, Boulbaba Ben Amor, Anuj Srivastava, ...
Widespread use of surveillance cameras in offices and
other business establishments, pose a significant threat to
the privacy of the employees and visitors. The challenge of
int...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
This paper addresses real-time automatic visual tracking,
labeling and classification of a variable number of
objects such as pedestrians or/and vehicles, under timevarying
illu...