Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …

Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …

This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …

Most state-of-the-art action feature extractors involve differential operators, which act as
highpass filters and tend to attenuate low frequency action information. This attenuation …

This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

As smartphone users have been increased, studies using mobile sensors on smartphone
have been investigated in recent years. Activity recognition is one of the active research …