With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

In order to ensure the safety of railway transportation, it is necessary to regularly check for
faults and defects in the railway system. Visual inspection technology is conducive to …

There is a strong demand of smart vision based surveillance system owing to the increase in
crime at a frightening rate at various public places like Banks, Airport, Shopping malls and its …

Anomaly detection from data streams is a hotly studied topic in the machine learning
domain. It is widely considered a challenging task because the underlying patterns exhibited …

In this paper, we introduce an approach to classify gender and age from images of human
faces which is an essential part of our method for autonomous detection of anomalous …

To prevent needlestick injury and leftover instruments, and to perform efficient dental
treatment, it is important to know the instruments required during dental treatment. Therefore …

In this paper, we propose a new approach to identify anomalous behaviour based on
heterogeneous data and a data fusion technique. There are four types of datasets applied in …

The detection of unnatural falls among older adults living alone at home is an essential
requirement of the day. Injury after a fall is common, and immediate medication is often …

In this paper we present a machine vision system to efficiently monitor, analyse and present
visual data acquired from a railway overhead gantry equipped with multiple cameras. This …

As the self-driving technology is getting mature for public transportation applications, the
safety concern of onboard passengers has become an important issue. It is essential to …