20 papers · ranked by Valyu relevance
Fateme Bahri, Nilanjan Ray
—Background subtraction is a fundamental task in computer vision with numerous real-world applications, ranging from object tracking to video surveillance. However, dynamic backgrounds can pose a significant challenge in this problem. While various methods have been proposed for background subtraction, supervised deep…
Dina Dushnik, Alon Schclar, Amir Averbuch
Identifying moving objects in a video sequence, which is produced by a static camera, is a fundamental and critical task in many computer-vision applications. A common approach performs background subtraction, which identifies moving objects as the portion of a video frame that differs significantly from a background…
Ryohei Nakayama, Alex O. Holcombe
We show that on a dynamic noise background, the perceived disappearance location of a moving object is shifted in the direction of motion. This “twinkle goes” illusion has little dependence on the luminance- or chromaticity-based confusability of the object with the background, or on the amount of background motion…
Şahin Işık, Kemal Özkan, Ömer Nezih Gerek
Background modelling is a fundamental step for several real-time computer vision applications that requires security systems and monitoring. An accurate background model helps detecting activity of moving objects in the video. In this work, we have developed a new subspace based background modelling algorithm using the…
Synh Viet-Uyen Ha, Nhat Minh Chung, Hung Ngoc Phan, Cuong Tien Nguyen
'Cuong Tien Nguyen'] Decades of ongoing research have shown that background modelling is a very powerful technique, which is used in intelligent surveillance systems, in order to extract features of interest, known as foregrounds. In order to work with the dynamic nature of different scenes, many techniques of…
Anila Gundavarapu, V Srinivasa Chakravarthy
A breakthrough in the understanding of dynamic 3D shape recognition was the discovery that our visual system can extract 3D shape from inputs having only sparse motion cues such as (i) point light displays and (ii) random dot displays representing rotating 3D shapes - phenomena named as biological motion (BM)…
Shuhuan Wen, Sen Wang, ZhiShang Zhang, Xuebo Zhang + 1 more
This paper presents a feature classification method based on vision sensor in dynamic environment. Aiming at the detected targets, a double-projection error based on orb and surf is proposed, which combines texture constraints and region constraints to achieve accurate feature classification in four different…
Santosh Tirunagari, Norman Poh, Mirosław Bober, David Windridge
— A background model describes a scene without any foreground objects and has a number of applications, ranging from video surveillance to computational photography. Recent studies have introduced the method of Dynamic Mode Decomposition (DMD) for robustly separating video frames into a background model and foreground…
Takahiro Kawabe, Masataka Sawayama
Human observers are able to perceptually discriminate dynamic deformation of materials in the real world. However, the psychophysical and neural mechanisms responsible for the perception of dynamic deformation have not been fully elucidated. By using a visual illusion wherein a static bar apparently deforms against a…
Mohamed Shehata, Reda Abo-Al-Ez, Farid Zaghlool, Mohamed Taha Abou-Kreisha
'Mohamed Taha Abou-Kreisha'] Background image subtraction algorithm is a common approach which detects moving objects in a video sequence by finding the significant difference between the video frames and the static background model. This paper presents a developed system which achieves vehicle detection by using…
Yaodong Yin
With the development of computer technology, animation is more and more used because of its simple, effective, and higher performance. Machine learning has become the core of artificial intelligence at present. Intelligent learning algorithms are widely used in practical problems such as evaluation. Knowledge-based…
Carlos R. del-Blanco, Tomás Mantecón, Massimo Camplani, Fernando Jaureguizar + 2 more
'Fernando Jaureguizar' 'Luis Salgado' 'Narciso García'] Low-cost systems that can obtain a high-quality foreground segmentation almost independently of the existing illumination conditions for indoor environments are very desirable, especially for security and surveillance applications. In this paper, a novel…
Shengzhe Yue, Zhengjie Wang, Xiaoning Zhang, Peng Cao + 1 more
To address the challenges of reduced localization accuracy and incomplete map construction demonstrated using classical semantic simultaneous localization and mapping (SLAM) algorithms in dynamic environments, this study introduces a dynamic scene SLAM technique that builds upon direct sparse odometry (DSO) and…
Alessandro Garbo, Stefano Quer
This paper presents a system for moving object exposure, focusing on pedestrian detection, in external, unfriendly, and heterogeneous environments. The system manipulates and accurately merges information coming from subsequent video frames, making small computational efforts in each single frame. Its main…
M. Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung
In many high level vision applications such as tracking and surveillance, background estimation is a fundamental step. In the past, background estimation was usually based on low level hand-crafted features such as raw color components, gradients, or local binary patterns. These existing algorithms observe performance…
Liu Mingtong, Huang Mengmeng, Olzhas N. Turar, Yang Chenghan + 2 more
In recent years, the latest advances in the field of 3D content creation have been primarily based on neural radiation fields (NeRF). Despite significant research achievements, these methods often suffer from slow optimization speeds and high memory consumption. More importantly, these studies still mainly focus on…
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…
Authors not listed
Mid-infrared (mid-IR) electrochromism is a promising technology that enables new ways to control radiative heat, which is particularly crucial for applications such as building thermoregulation efficiency, industrial process efficiency, spacecraft thermal engineering, and personal heat management. However, most mid-IR…
Fabian Späth, Michele Stasi, Héctor Soria-Carrera, Judit Sastre + 2 more
Dynamic combinatorial chemistry (DCC) creates libraries of molecules that are constantly interchanging in a dynamic combinatorial library. When a library member self-assembles, it can displace the equilibria, leading to emergent phenomena like its selection or even its replication. However, such dynamic combinatorial…
Alejandro A. Franco, Emilie Loup-Escande, Goran Loiseaux, Jean-Noël Chotard + 5 more
We present two digital-based serious games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery-powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR)…