Anomaly detection in videos for video surveillance applications using neural networks
RJ Franklin, V Dabbagol - 2020 Fourth International …, 2020 - ieeexplore.ieee.org
Security is always a main concern in every domain, due to a rise in crime rate in the crowded
event or suspicious lonely areas. Abnormal detection and monitoring have major …
event or suspicious lonely areas. Abnormal detection and monitoring have major …
Video Surveillance Device Failure Detection by IoT
M Puneeth, GD Devanagavi… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The main objective of Video Surveillance is to traverse back for any untoward incident and to
investigate for the actual cause or reason. In the current scenario, CCTVs (Closed Circuit …
investigate for the actual cause or reason. In the current scenario, CCTVs (Closed Circuit …
An image quality adjustment framework for object detection on embedded cameras
Automatic analysis tools are ubiquitously applied on wireless embedded cameras to extract
high-level information from raw data. The quality of images may be degraded by factors such …
high-level information from raw data. The quality of images may be degraded by factors such …
Task Oriented Video Coding: A Survey
D Wood - arXiv preprint arXiv:2208.07313, 2022 - arxiv.org
Video coding technology has been continuously improved for higher compression ratio with
higher resolution. However, the state-of-the-art video coding standards, such as H …
higher resolution. However, the state-of-the-art video coding standards, such as H …
Image quality and object detection performance of convolutional neural networks
AC Bergstrom, DW Messinger - Pattern Recognition and …, 2023 - spiedigitallibrary.org
Significant bodies of research have explored the topics of computer vision and image
quality, but research on the intersection of these two disciplines remains limited …
quality, but research on the intersection of these two disciplines remains limited …
Correlating traditional image quality metrics and DNN-based object detection: a case study with compressed camera data
D Gummadi, PH Chan, H Wang, V Donzella - Authorea Preprints, 2023 - techrxiv.org
 Assisted and automated driving (AAD) systems heavily rely on data collected from
perception sensors, such as cameras. While prior research has explored the quality of …
perception sensors, such as cameras. While prior research has explored the quality of …
A no-reference image quality model for object detection on embedded cameras
Automatic video analysis tools are an indispensable component in imaging applications.
Object detection, the first and the most important step for automatic video analysis, is …
Object detection, the first and the most important step for automatic video analysis, is …
A Brief Study on Object Detection and Tracking
The detection and tracking of objects in computer vision systems is a critical and challenging
subject. Object identification and tracking currently has applications in a wide range of …
subject. Object identification and tracking currently has applications in a wide range of …
Multitopic underwater image quality assessment with visual attention factors
M Yang, G Yin, Y Du, H Wang - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
Statistical information on underwater images related to subjective quality perception differs
based on the environment. We initially propose whitish, yellowish, greenish, bluish topics for …
based on the environment. We initially propose whitish, yellowish, greenish, bluish topics for …
Confidence-based fall detection using multiple surveillance cameras
The major cause of serious or even fatal injury for the elderly is a fall. Among various
technologies developed for detecting falls, the camera-based approach provides a non …
technologies developed for detecting falls, the camera-based approach provides a non …