Nowadays, deep neural networks are widely used for human action recognition (HAR) due
to their ability to operate directly on the raw video inputs by extracting both the spatial and …

As action recognition undergoes change as a field under influence of the recent deep
learning trend, and while research in areas such as background subtraction, object …

This paper proposes a new method of describing a self-occlusive human motion, particularly
in the depth direction, which has been considered little in the motion/action recognition …

Top precision is one of the most popular performance measures for content-based image
retrieval task, while similarity function is the most critical component of a content-based …

Human action recognition research has become increasingly sophisticated in recent years
because it is used in many different applications. Many techniques have been introduced to …

Object tracking is one of the most important topics in the computer vision field. Tracking
methods using discriminative models are becoming more and more attractive due to their …

Human gait is a useful biometric feature for human identification because the gait features
can be captured at a distance in uncontrolled scenarios. Automatic gender recognition from …

This paper presents an ideal method for object tracking directly in the compressed domain in
video sequences. An enhanced rotationinvariant image operator called Largest Difference …

As action recognition undergoes change as a field under influence of the recent deep
learning trend, and while research in areas such as background subtraction, object …

From the prehistoric times, humans have thrived to invent various tools and instruments to
emulate or even outdo human activities. In this process, the invention of computers …