Human activity recognition: Review, taxonomy and open challenges
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
Abnormal event detection in videos using generative adversarial nets
In this paper we address the abnormality detection problem in crowded scenes. We propose
to use Generative Adversarial Nets (GANs), which are trained using normal frames and …
to use Generative Adversarial Nets (GANs), which are trained using normal frames and …
Violence detection using spatiotemporal features with 3D convolutional neural network
The worldwide utilization of surveillance cameras in smart cities has enabled researchers to
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
A review on classifying abnormal behavior in crowd scene
Crowd behavior analysis has become one of the new areas of interest in the computer vision
community due to the increasing demands from surveillance and security industries. It is …
community due to the increasing demands from surveillance and security industries. It is …
Training adversarial discriminators for cross-channel abnormal event detection in crowds
Abnormal crowd behaviour detection attracts a large interest due to its importance in video
surveillance scenarios. However, the ambiguity and the lack of sufficient abnormal ground …
surveillance scenarios. However, the ambiguity and the lack of sufficient abnormal ground …
Intelligent dual stream CNN and echo state network for anomaly detection
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …
which is exhausting and erroneous, while computer vision-based automated anomaly …
An intelligent system for complex violence pattern analysis and detection
Video surveillance has shown encouraging outcomes to monitor human activities and
prevent crimes in real time. To this extent, violence detection (VD) has received substantial …
prevent crimes in real time. To this extent, violence detection (VD) has received substantial …
An IoT enable anomaly detection system for smart city surveillance
Since the advent of visual sensors, smart cities have generated massive surveillance video
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
Video crowd detection and abnormal behavior model detection based on machine learning method
S **e, X Zhang, J Cai - Neural Computing and Applications, 2019 - Springer
Pedestrian detection and abnormal behavior detection is the computer for a given image
and video, to determine whether there are pedestrians and their behavior is normal …
and video, to determine whether there are pedestrians and their behavior is normal …
Segdq: Segmentation assisted multi-object tracking with dynamic query-based transformers
Abstract Multi-Object Tracking (MOT) has been one of the most important topics in computer
vision. The traditional tracking-by-detection framework of MOT is severely suffered from the …
vision. The traditional tracking-by-detection framework of MOT is severely suffered from the …