… Among these, analyses that are related to video surveillance are motion detection, tracking,
events, and anomalous detection in the scenes, crowd behavior, face recognition, and object …

… The widespread availability of surveillance data from cameras installed in residential areas,
… Analysis of surveillance videos involves a series of modules like object recognition, action …

… methods for visual surveillance and object analysis on the video surveillance system
RQ7 What kind of network architecture improvement is used for video surveillance system? …

… system is using a pre-trained model called VGG-16(Visual … such a way to predict behavior
from the footage. The model is … video data was processed and the foreground objects were …

… of video processing, machine vision, and behavioral pattern … movements, analysis methods
of moving object trajectories … Visual image is received from a collection of library video frames …

… objects of interests in real-time. Actually, with millions of traffic surveillance cameras installed,
video … The pipeline of VQA model based on multi-objective visual relationship detection is …

… (3) We can hardly obtain the visual spot traffic information straightforwardly from AIS system.
… Considering that ships are rigid objects, and bounding box on the same ship should share …

… a system capable of real-time video surveillance in low-end edge computing environment
by combining object detection tracking algorithm. Recently, the accuracy of object detection …

… analysis gradually evolved from the concepts of object tracking, object detection and their
respective path analysis… approaches to crowd surveillance is the use of video surveillance [114]…

… using a two level methodology based on deep learning, called Object Detection with Binary
… In particular, we focus on the video surveillance problem of detecting weapons and objects …