Objective The video surveillance system of Shanghai urban rail transit faces challenges such as insufficient flexibility, poor scalability, and complex operation and maintenance. In response, a new network architecture for video surveillance system based
ZHANG Wankang
doaj +1 more source
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance [PDF]
Sabah Abdulazeez Jebur +4 more
openalex +1 more source
Prediction of Pedestrian Crossing Behavior Based on Surveillance Video. [PDF]
Zhou X +5 more
europepmc +1 more source
NSD-SSD: A Novel Real-Time Ship Detector Based on Convolutional Neural Network in Surveillance Video. [PDF]
Sun J, Xu Z, Liang S.
europepmc +1 more source
Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread. [PDF]
Magoo R +4 more
europepmc +1 more source
Human Identification Using Histogram of Oriented Gradients (HOG) and Non-Maximum Suppression (NMS) for ATM Video Surveillance [PDF]
Sanjeevkumar Angadi, Suvarna Nandyal
openalex
Abnormal motion pattern detection in video sequences by an unsupervised approach
Identifying anomalous motion behavior in video sequences is a challenging task. Manual annotation of a large number of surveillance videos is time-consuming because of the limited human brain's visual attention.
Himal Acharya, Basanta Joshi
doaj
Detection of Key Points for a Rainbow Trout in Underwater Video Surveillance System
Maksim Pavlovich Pavlov +2 more
openalex +2 more sources
Machine Learning Models for Predicting Crime Hotspots in Urban Areas Using Video Surveillance [PDF]
Ravikanth Konda
openalex +1 more source
On a Distributed Video Surveillance System to Track Persons in Camera Networks [PDF]
Niki Martinel
openalex +1 more source

