Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

Extracting features from crowd flow analysis has become an important research challenge
due to its social cost and the impact of inadequate planning of high-quality services and …

Recognition of human action is a daunting challenge considering action sequences'
embodied and dynamic existence. Recently designed material depth sensors and the …

Centrality measures in complex systems have been applied in serval domains for problem-
solving. In this paper, we tailor complex system measures to investigate the most interesting …

Traditional image object classification and detection algorithms and strategies cannot meet
the problem of video image acquisition and processing. Deep learning deliberately …

Human activity recognition (HAR) has significance in the domain of pattern recognition. HAR
handles the complexity of human physical changes and heterogeneous formats of same …

Recovering a 3D shape representation from one single image input has been attempted in
recent years. Most of the works obtain 3D models from multiple images at different …

This paper presents human action recognition method based on silhouette sequences and
simple shape descriptors. The proposed solution uses single scalar shape measures to …

Graph theory originated as a fun way to solve math problems, but it has now evolved into a
significant mathematics subject with several applications in computer vision. The human …

The method of marking video clips with action symbols is known as vision-based human
activity recognition. Robust solutions to this problem have a variety of practical …