Modeling human behaviors and activity patterns for recognition or detection of special event
has attracted significant research interest in recent years. Diverse methods that are abound …

Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Wireless-sensor-network-based home monitoring system for elderly activity behavior
involves functional assessment of daily activities. In this paper, we reported a mechanism for …

Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

Falls are a major cause of fatal injury for the elderly population. To improve the quality of
living for seniors, a wide range of monitoring systems with fall detection functionality have …

Video surveillance is an omnipresent topic when it comes to enhancing security and safety
in the intelligent home environments. In this paper, we propose a novel method to detect …

The main purpose of this paper is to use off-the-shelf devices to develop a fall detection
system. In human body identification, human body silhouette is adopted to improve privacy …

Ambient assisted living (AAL) has the ambitious goal of improving the quality of life and
maintaining independence of older and vulnerable people through the use of technology …

Vision-based monitoring for assisted living is gaining increasing attention, especially in multi-
modal monitoring systems owing to the several advantages of vision-based sensors. In this …