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
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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Posted Content
Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems
TL;DR: A heterogeneous system that estimates the degree of an anomaly in unmanned surveillance drone by inspecting IMU (Inertial Measurement Unit) sensor data and real-time image in an unsupervised approach is demonstrated.
Book ChapterDOI
Low-Cost Automated Navigation System for Visually Impaired People
TL;DR: The smart jacket for visually impaired people or say visually impaired system (VIS) as discussed by the authors supports this process by providing key facilities a short-range system for detecting obstacles, a short range system for identifying obstacles, signboard recognition system, and the shortest path guidance system for source to destination.
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