Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …

The increasing popularity of compact and inexpensive cameras, eg dash cameras, body
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …

This paper discusses anomaly detection, which is one of the most well-known applications
of human activity recognition. Due to the ever-increasing activities posing risks ranging from …

One of the most often used applications of human activity detection is anomaly detection,
which is covered in this paper. Providing security for a person is a key issue in every …

This study deals with a method for anomaly detection in seawater temperature data using
machine learning methods with oversampling techniques. Data were acquired from 2017 to …

The ubiquitous integration of computer vision technologies has revolutionised various
application domains, ranging from agriculture and transportation to healthcare and the …

We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world
scenes, called MAVAD, with a diverse range of weather and illumination conditions. In …

One of the most widely used human behavior detection methods is anomaly detection,
which this article covers. Ensuring a person's safety is a crucial task in every community …

The computer vision researchers concentrated on the automation of the surveillance system.
Many datasets suited for diverse applications have been proposed by research in this …

This paper presents an anomaly related video dataset consisting of short anomaly videos
divided in classes on the basis of the type of abnormal human behavior by which we can …