Securecam: Selective detection and encryption enabled application for dynamic camera surveillance videos

I Aribilola, MN Asghar, N Kanwal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Using dynamic surveillance cameras for security has significantly increased the privacy
concerns for captured individuals. Malicious users may misuse these videos by performing …

Exploring weak stabilization for motion feature extraction

D Park, CL Zitnick, D Ramanan… - Proceedings of the …, 2013 - openaccess.thecvf.com
We describe novel but simple motion features for the problem of detecting objects in video
sequences. Previous approaches either compute optical flow or temporal differences on …

[HTML][HTML] Moving object detection using modified GMM based background subtraction

S Rakesh, NP Hegde, MV Gopalachari, D Jayaram… - Measurement …, 2023 - Elsevier
Academics have become increasingly interested in creating cutting-edge technologies to
enhance Intelligent Video Surveillance (IVS) performance in terms of accuracy, speed …

Welding seam profiling techniques based on active vision sensing for intelligent robotic welding

J Muhammad, H Altun, E Abo-Serie - The International Journal of …, 2017 - Springer
Intelligent robotic welding involves replicating the role of a manual professional welder to
adaptively control the welding process. This is necessary to achieve accurate, fast and high …

Approaches to three-dimensional reconstruction of plant shoot topology and geometry

JA Gibbs, M Pound, AP French, DM Wells… - Functional Plant …, 2016 - CSIRO Publishing
There are currently 805 million people classified as chronically undernourished, and yet the
World's population is still increasing. At the same time, global warming is causing more …

Low cost smart security camera with night vision capability using Raspberry Pi and OpenCV

WF Abaya, J Basa, M Sy, AC Abad… - 2014 International …, 2014 - ieeexplore.ieee.org
In order to further maintain peace and provide security to people now a day, Closed-circuit
television (CCTV) surveillance system is being utilized. This study focused on the design …

Video processing techniques for traffic flow monitoring: A survey

B Tian, Q Yao, Y Gu, K Wang… - 2011 14th international …, 2011 - ieeexplore.ieee.org
Video-based traffic flow monitoring is a fast emerging field based on the continuous
development of computer vision. A survey of the state-of-the-art video processing techniques …

View-invariant action recognition based on artificial neural networks

A Iosifidis, A Tefas, I Pitas - IEEE transactions on neural …, 2012 - ieeexplore.ieee.org
In this paper, a novel view invariant action recognition method based on neural network
representation and recognition is proposed. The novel representation of action videos is …

Texmesh: Reconstructing detailed human texture and geometry from rgb-d video

T Zhi, C Lassner, T Tung, C Stoll… - Computer Vision–ECCV …, 2020 - Springer
We present TexMesh, a novel approach to reconstruct detailed human meshes with high-
resolution full-body texture from RGB-D video. TexMesh enables high quality free-viewpoint …

[HTML][HTML] A machine learning method with threshold based parallel feature fusion and feature selection for automated gait recognition

M Sharif, M Attique, MZ Tahir, M Yasmim… - … of Organizational and …, 2020 - igi-global.com
Gait is a vital biometric process for human identification in the domain of machine learning.
In this article, a new method is implemented for human gait recognition based on accurate …