The need to monitor exists for many reasons. We use it as a mechanism to protect ourselves
and our property, we use it to manage large numbers such as traffic information, we use it to …

Locating a missing child or elderly person in a large gathering through face recognition in
videos is still challenging because of various dynamic factors. In this paper, we present an …

… In this work, three different novel approaches are presented to store personal data obtained
from intelligent video surveillance systems in an efficient and secure way. The storage …

… In this paper, we have devised an Intelligent Video Surveillance System to track and
classify vehicles with the aim of replacing ILDs, particularly on highways. We have identified …

… The method of abnormal motion detection in intelligent video surveillance was discussed in
this … and timely when abnormal motion as defined happens in intelligent video surveillance. …

Detecting the presence of people and suspicious objects are the essential tasks for security
surveillance. This paper presents a new real-time system for this purpose. Two motion cues …

… of the role of artificial intelligence [2] is essential to improve video surveillance thanks to its
… , and live videos related to video surveillance scenarios with YOLO versions cited before to …

… In Section 2, we discuss recent work on object detection for intelligent video surveillance
systems. The problem statement and system model for our proposed study are discussed in …

… intelligent video surveillance systems (IVSS) is a burgeoning area of research in computer
vision and video … of the recent Advanced Video and SignalBased Surveillance conferences, …

… This study will employ a 3D convolutional network-based spatiotemporal autoencoder for
our intelligence video surveillance. It is initially encoded in one direction and then decoded in …