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New trends on moving object detection in video images captured by a moving camera: A survey
This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …
sequences captured by a moving camera. Although many researches and excellent works …
Weapon detection in real-time cctv videos using deep learning
MT Bhatti, MG Khan, M Aslam, MJ Fiaz - Ieee Access, 2021 - ieeexplore.ieee.org
Security and safety is a big concern for today's modern world. For a country to be
economically strong, it must ensure a safe and secure environment for investors and tourists …
economically strong, it must ensure a safe and secure environment for investors and tourists …
Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis
The Sørensen-Dice index (SDI) is a widely used measure for evaluating medical image
segmentation algorithms. It offers a standardized measure of segmentation accuracy which …
segmentation algorithms. It offers a standardized measure of segmentation accuracy which …
CDnet 2014: An expanded change detection benchmark dataset
Change detection is one of the most important low-level tasks in video analytics. In 2012, we
introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the …
introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the …
Uncertainty-aware unsupervised domain adaptation in object detection
Unsupervised domain adaptive object detection aims to adapt detectors from a labelled
source domain to an unlabelled target domain. Most existing works take a two-stage strategy …
source domain to an unlabelled target domain. Most existing works take a two-stage strategy …
Changedetection. net: A new change detection benchmark dataset
Change detection is one of the most commonly encountered low-level tasks in computer
vision and video processing. A plethora of algorithms have been developed to date, yet no …
vision and video processing. A plethora of algorithms have been developed to date, yet no …
Object detection algorithms for video surveillance applications
A Raghunandan, P Raghav… - … on Communication and …, 2018 - ieeexplore.ieee.org
Object Detection algorithms find application in various fields such as defence, security, and
healthcare. In this paper various Object Detection Algorithms such as face detection, skin …
healthcare. In this paper various Object Detection Algorithms such as face detection, skin …
Background modeling using mixture of gaussians for foreground detection-a survey
T Bouwmans, F El Baf, B Vachon - Recent patents on computer …, 2008 - benthamdirect.com
Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …
objects from static cameras. Numerous improvements of the original method developed by …
Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol
Common benchmark data sets, standardized performance metrics, and baseline algorithms
have demonstrated considerable impact on research and development in a variety of …
have demonstrated considerable impact on research and development in a variety of …
Recent advanced statistical background modeling for foreground detection-a systematic survey
T Bouwmans - Recent Patents on Computer Science, 2011 - ingentaconnect.com
Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …
static cameras. Numerous statistical methods have been developed over the recent years …