作为计算机视觉的重要分支, 异常行为识别与检测技术已在智能安防, 医疗监护,
交通管控等领域获得了广泛应用. 对异常行为的界定及判别方法与场景因素紧密相关 …

Recent research has demonstrated the brittleness of machine learning systems to
adversarial perturbations. However, the studies have been mostly limited to perturbations on …

Integrating image processing in video surveillance systems is a challenging task that has
been attempted for the past several decades. Despite being susceptible to crime, automated …

In today's world of internet, a massive amount of data is getting generated every day and
content-based classification of images is becoming an essential aspect for efficient retrieval …

Today, the number, type and complexity of malware is increasing rapidly. Convolution
neural network (CNN) based networks continue to be used in software classification based …

An individual's privacy is a significant concern in surveillance videos. Existing research work
into the location of individuals on the basis of detecting their skin is focused either on …

Abstract Automated Teller Machine (ATM) offers great convenience to many people by
allowing quick bank transactions and cash withdrawal. However, ATM machines are also …

The immense crime rates resulting from using pistols have led governments to seek
solutions to deal with such terrorist incidents. These incidents have a negative impact on …

An automated teller machine is an electronics telecommunications device which is utilized
by people, mostly to withdraw money. In the present scenario, a fair amount of the …

To ensure the public's safety such as in buses, it is very important to accurately judge
people's behaviors and give early warnings. If by watching the video surveillance manually …