The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

In recent years, emotion recognition has received significant attention, presenting a plethora
of opportunities for application in diverse fields such as human–computer interaction …

Many surveillance cameras are mounted in sparse and crowded indoor and outdoor areas
to monitor and detect various patterns of human behaviors and anomalies in the public and …

Crowding at the entrances of large events may lead to critical and life-threatening situations,
particularly when people start pushing each other to reach the event faster. Automatic and …

In this paper, a proof-of-concept method for detecting abnormal behavior in dementia
patients based on a single case study is proposed. This method incorporates the collection …

People communicate using one of the communication types of facial expressions to express
their emotions. Human feelings are detected through facial expressions to interpret their …

Nowadays, the technologies in computer vision (CV) are labor-saving and convenient to
identify human malicious behaviors. However, they usually fail to consider the robustness …

Crowd behavior presents significant challenges due to intricate interactions. This research
proposes an approach that combines the power of 3D Convolutional Neural Networks …

Surveillance systems, particularly AI-based ones, play a crucial role in enhancing public
security. However, they have also raised significant concerns about privacy due to the …

In the field of video surveillance security in public places, loitering anomaly detection is a
very critical part. Currently, the detection targets often face difficulties in loitering anomaly …