A systematic review of intelligence video surveillance: Trends, techniques, frameworks, and datasets
Video surveillance systems obtain a great interest as application-oriented studies that have
been growing rapidly in the past decade. The most recent studies attempt to integrate …
been growing rapidly in the past decade. The most recent studies attempt to integrate …
Spatiotemporal anomaly detection using deep learning for real-time video surveillance
R Nawaratne, D Alahakoon… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Rapid developments in urbanization and autonomous industrial environments have
augmented and expedited the need for intelligent real-time video surveillance. Recent …
augmented and expedited the need for intelligent real-time video surveillance. Recent …
Improvement of Deep Learning-based Human Detection using Dynamic Thresholding for Intelligent Surveillance System
Human detection plays an important role in many applications of the intelligent surveillance
system (ISS), such as person re-identification, human tracking, people counting, etc. On the …
system (ISS), such as person re-identification, human tracking, people counting, etc. On the …
Illumination-invariant background subtraction: Comparative review, models, and prospects
Background subtraction is a key prerequisite for a wide range of image processing
applications due to its pervasiveness in various contexts. In particular, video surveillance …
applications due to its pervasiveness in various contexts. In particular, video surveillance …
Toward new retail: A benchmark dataset for smart unmanned vending machines
Deep learning is a popular direction in computer vision and digital image processing. It is
widely utilized in many fields, such as robot navigation, intelligent video surveillance …
widely utilized in many fields, such as robot navigation, intelligent video surveillance …
Abandoned object detection in video-surveillance: survey and comparison
During the last few years, abandoned object detection has emerged as a hot topic in the
video-surveillance community. As a consequence, a myriad of systems has been proposed …
video-surveillance community. As a consequence, a myriad of systems has been proposed …
Detection of abandoned and stolen objects based on dual background model and mask R-CNN
H Park, S Park, Y Joo - IEEE Access, 2020 - ieeexplore.ieee.org
Dual background models have been widely used for detecting stationary objects in video
surveillance systems. However, there is a problem that both abandoned and stolen objects …
surveillance systems. However, there is a problem that both abandoned and stolen objects …
HOG-assisted deep feature learning for pedestrian gender recognition
Pedestrian gender recognition is a very challenging problem, since the viewpoint variations,
illumination changes, occlusion, and poor quality are usually encountered in the pedestrian …
illumination changes, occlusion, and poor quality are usually encountered in the pedestrian …
Gender classification using proposed CNN-based model and ant colony optimization
Pedestrian gender classification is one of the key assignments of pedestrian study, and it
finds practical applications in content-based image retrieval, population statistics, human …
finds practical applications in content-based image retrieval, population statistics, human …
Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms
Recent technological advances led to the rapid and uncontrolled proliferation of intelligent
surveillance systems (ISSs), serving to supervise urban areas. Driven by pressing public …
surveillance systems (ISSs), serving to supervise urban areas. Driven by pressing public …