Book ChapterDOI
An Intelligent Video Surveillance System for Anomaly Detection in Home Environment Using a Depth Camera
Kishanprasad G. Gunale,Prachi Mukherji +1 more
- pp 473-481
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TLDR
A simple yet efficient technique to detect fall with the help of inexpensive depth camera was presented and it was observed that SGD classifier gives better fall detection accuracy than the SVM classifier in both training and testing phase for SDU fall dataset.Abstract:
In recent years, the research on the anomaly detection has been rapidly increasing. The researchers were worked on different anomalies in videos. This work focuses on fall as an anomaly as it is an emerging research topic with application in elderly safety areas including home environment. The older population staying alone at home is prone to various accidental events including falls which may lead to multiple harmful consequences even death. Thus, it is imperative to develop a robust solution to avoid this problem. This can be done with the help of video surveillance along with computer vision. In this paper, a simple yet efficient technique to detect fall with the help of inexpensive depth camera was presented. Frame differencing method was applied for background subtraction. Various features including orientation angle, aspect ratio, silhouette features, and motion history image (MHI) were extracted for fall characterization. The training and testing were successfully implemented using SVM and SGD classifiers. It was observed that SGD classifier gives better fall detection accuracy than the SVM classifier in both training and testing phase for SDU fall dataset.read more
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References
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Journal ArticleDOI
Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls
TL;DR: An overview of common ambulatory sensors is presented, followed by a summary of the developments in this field, with an emphasis on the clinical applications of falls detection, falls risk assessment, and energy expenditure.
Journal ArticleDOI
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TL;DR: In this paper, the authors report ongoing work in which passive sensor networks have been installed in 17 apartments in an aging in place eldercare facility, including simple motion sensors, video sensors, and a bed sensor that captures sleep restlessness and pulse and respiration levels.
Journal ArticleDOI
Depth-based human fall detection via shape features and improved extreme learning machine
TL;DR: An automated fall detection approach that requires only a low-cost depth camera and a variable-length particle swarm optimization algorithm to optimize the number of hidden neurons, corresponding input weights, and biases of ELM is presented.
Journal ArticleDOI
Emergency Fall Incidents Detection in Assisted Living Environments Utilizing Motion, Sound, and Visual Perceptual Components
TL;DR: The proposed system utilizes video, audio, and motion data captured from the patient's body using appropriate body sensors and the surrounding environment, using overhead cameras and microphone arrays to facilitate emergency detection in cases, where the personal health is threatened like elder falls or patient collapses.
Journal ArticleDOI
Wireless sensors network based safe home to care elderly people: behaviour detection
TL;DR: An intelligent, robust, less cost, flexible and real time home monitoring unit has been developed to record the basic home activities and respond immediately when there is a change in the regular daily activity of the elder person.