Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

Due to the increase in surveillance systems, there is a massive increase in surveillance
data. As of now, the key challenge for video surveillance systems is analyzing these large …

The current state of the art and direction of research in computer vision aimed at automating
the analysis of CCTV images is presented. This includes low level identification of objects …

The rapid proliferation of smart devices, surveillance cameras, infrastructures and buildings
enhanced with the Internet of Things (IoT) technologies has led to a huge explosion of …

There has been a tremendous advance in machine learning techniques especially for
automatic group activity recognition (GAR) over the past few decades. This review article …

Existing surveillance systems for older people activity analysis are focused on video and
sensors analysis (eg, accelerometers, pressure, infrared) applied for frailty assessment, fall …

This article defines a new methodology for pre-recognition of events with object motion
analysis in a video without any prior knowledge. This unsupervised application is named as …

At the highest level of competitive sport, nearly all performances of athletes (both training
and competitive) are chronicled using video. Video is then often viewed by expert …

This document provides a brief overview of recent developments in human action
recognition in videos. In recent years, there is a increasing interest over analyses of human …

Given the shape information of an object, can we find visually meaningful" n" objects in an
image database, which is ranked from the most similar to the n/sup th/similar one? The …