19 papers · ranked by Valyu relevance
Fateme Bahri, Nilanjan Ray
—Background subtraction is a significant task in computer vision and an essential step for many real world applications. One of the challenges for background subtraction methods is dynamic background, which constitute stochastic movements in some parts of the background. In this paper, we have proposed a new background…
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…
Mingshuai Yao, Mengting Chen, Qinye Zhou, Yabo Zhang + 8 more
Human Motion Authors: ['Mingshuai Yao' 'Mengting Chen' 'Qinye Zhou' 'Yabo Zhang' 'Ming Liu' 'Xiaoming Li' 'Shaohui Liu' 'Chen Ju' 'Shuai Xiao' 'Qingwen Liu' 'Jinsong Lan' 'Wangmeng Zuo'] In this paper, we investigate the generation of new video backgrounds given a human foreground video, a camera pose, and a reference…
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)…
Cheng Huang, Quanli Zeng, Fangyu Xiong, Jiazhong Xu
For the problem of space dynamic target tracking with occlusion, this paper proposes an online tracking method based on the combination between the five-frame difference and Deepsort (Simple Online and Realtime Tracking with a Deep Association Metric), which is to achieve the identification first and then tracking of…
Sameed Ur Rehman, Irshad Ullah, Wajahat Akbar, Altaf Hussain + 5 more
In dynamic settings such as security, autonomous driving, and robotics, effective motion detection and classification are crucial for accurate tracking amidst target and background movements. Traditional approaches, typically designed for static environments, face challenges in complex scenes with multiple types of…
Hendrik Hachmann, Bodo Rosenhahn
Deep learning-based alpha matting showed tremendous improvements in recent years, yet, feature film production studios still rely on classical chroma keying including costly post-production steps. This perceived discrepancy can be explained by some missing links necessary for production which are currently not…
Bo Gu, Jianfeng Feng, Zhuoyi Song
Detecting looming signals for collision avoidance faces challenges in real-world scenarios due to interference from moving backgrounds. Astonishingly, animals, like insects with limited neural systems, adeptly respond to looming stimuli while moving at high speeds. Existing insect-inspired looming detection models…
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…
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…
Daniel Wüstner
Image segmentation in fluorescence microscopy is often based on spectral separation of fluorescent probes (color-based segmentation) or on significant intensity differences in individual image regions (intensity-based segmentation). These approaches fail, if dye fluorescence shows large spectral overlap with other…
Jianxin Zhang, Ning Cai, Lihan Xu, Jinghua Liu + 3 more
The existing microexpression training tool METT only trains the static microexpression recognition ability under neutral background, but does not train the dynamic microexpression recognition ability under expression backgrounds. Therefore, in the current study, the dynamic microexpression recognition ability test…
Chen Liu, Tobias Ritschel
Dynamic textures have been the focus of extensive research. Early works [Costantini et al. 2008; Doretto et al. 2003] propose a linear dynamical system to analyze and synthesize dynamic textures. The far-reaching Gram loss of Gatys et al. shapes modern approaches to (dynamic) texture synthesis. They discover that…
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…
Patrick Cavanagh, Stuart Anstis, Matteo Lisi, Mark Wexler + 4 more
Probes flashed within a moving frame are dramatically displaced (15; 24) The effect is much larger than that seen on static or moving probes (induced motion, 6; 21). These flashed probes are often perceived with the separation they have in frame coordinates — a 100% effect. Here we explore this frame effect on flashed…
Akanksha Dixit, Smruti R. Sarangi
Patch-based Parallel Extrapolation Authors: ['Akanksha Dixit' 'Smruti R. Sarangi'] High-refresh rate displays have become very popular in recent years due to the need for superior visual quality in gaming, professional displays and specialized applications like medical imaging. However, high-refresh rate displays alone…
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…