This chapter gives an insight into Deep Learning Neural Networks and their application to
Image Classification/Pattern Recognition. The principle of Convolutional Neural Networks …

In this paper, we develop a novel convolutional neural network based approach to extract
and aggregate useful information from gait silhouette sequence images instead of simply …

Biometric authentication involves various technologies to identify individuals by exploiting
their unique, measurable physiological and behavioral characteristics. However, traditional …

The human gait has become another biometrie trait used in security systems because it is
unique to each person and can be recognized at a distance. However, a bad actor could use …

It is very important to retrieve a specific person in locating and tracking the missing people
as well as the suspects quickly. However, the well-studied face-based and appearance …

Gait is a commonly used behavioral biometric that proved to be successful for authenticating
people at a distance, however, its recognition accuracy severely deteriorates due to view …

Gait recognition is one of the most promising modality for human identification in motion and
without subject cooperation. This modality of recognition has the objective to identify …

Gait recognition has received increasing attention as a remote biometric identification
technology, ie it can achieve identification at the long distance that few other identification …

To improve the accuracy of cross-view gait identification, a novel approach is proposed in
this paper. We design a triplet-based convolution neural network with embedded learning …

Privacy protection may be defined as replacing the original content in an image region with
a (less intrusive) content having modified target appearance information to make it less …