19 papers · ranked by Valyu relevance
Ali Soleymani, Frank Pennekamp, Owen L. Petchey, Robert Weibel + 1 more
'Jesus Malo'] Recent advances in tracking technologies such as GPS or video tracking systems describe the movement paths of individuals in unprecedented details and are increasingly used in different fields, including ecology. However, extracting information from raw movement data requires advanced analysis techniques…
Núbia Rosa da Silva, Odemir Martinez Bruno
In recent years there has been considerable interest in human action recognition. Several approaches have been developed in order to enhance the automatic video analysis. Although some developments have been achieved by the computer vision community, the properly classification of human motion is still a hard and…
Qifan Zhou, Hai Zhang, Zahra Lari, Zhenbo Liu + 2 more
Wearable electronic devices have experienced increasing development with the advances in the semiconductor industry and have received more attention during the last decades. This paper presents the development and implementation of a novel inertial sensor-based foot-mounted wearable electronic device for a brand new…
Jolyon Troscianko, Thomas A. O’Shea-Wheller, James Galloway, Kevin J. Gaston
Here we introduce BehaveAI, a biologically inspired video analysis framework that integrates static and motion information through a novel colour-from-motion encoding strategy. This method translates object movement – direction, speed, and acceleration – into colour gradients, enabling both human annotators and…
Weiyao Lin, Ming–Ting Sun, Hongxiang Li, Zhenzhong Chen + 2 more
'Bing Zhou'] Abstract—In this paper, a macroblock classification method is proposed for various video processing applications involving motions. Based on the analysis of the Motion Vector field in the compressed video, we propose to classify Macroblocks of each video frame into different classes and use this class…
Eissa Jaber Alreshidi, Mohammad Bilal J
Identifying human behaviors is a challenging research problem due to the complexity and variation of appearances and postures, the variation of camera settings, and view angles. In this paper, we try to address the problem of human behavior identification by introducing a novel motion descriptor based on statistical…
Emahnuel Troisi Lopez, Roberta Minino, Mario De Luca, Francesco Tafuri + 3 more
automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific, characteristics that would enhance generalization and adaptability. Previous studies on motion…
Qiannan Jiang, Mingzhou Liu, Xiaoqiao Wang, Maogen Ge + 1 more
The observation, decomposition and record of motion are usually accomplished through artificial means during the process of motion analysis. This method not only has a heavy workload, its efficiency is also very low. To solve this problem, this paper proposes a novel method to segment and recognize continuous human…
Ahmed Nabil Mohamed
Human motion analysis and understanding has been, and is still, the focus of attention of many disciplines which is considered an obvious indicator of the wide and massive importance of the subject. The purpose of this article is to shed some light on this very important subject, so it can be a good insight for a…
Zhigao Cui, Ke Jiang, Tao Wang
Moving object segmentation is the most fundamental task for many vision-based applications. In the past decade, it has been performed on the stationary camera, or moving camera, respectively. In this paper, we show that the moving object segmentation can be addressed in a unified framework for both type of cameras. The…
Lei Wang, Du Q. Huynh, Moussa Reda Mansour
From video streaming to security and surveillance applications, video data play an important role in our daily living today. However, managing a large amount of video data and retrieving the most useful information for the user remain a challenging task. In this paper, we propose a novel video classification system…
Hugo Jiménez-Hernández, Jose-Joel González-Barbosa, Teresa Garcia-Ramírez
'Teresa Garcia-Ramírez'] This investigation demonstrates an unsupervised approach for modeling traffic flow and detecting abnormal vehicle behaviors at intersections. In the first stage, the approach reveals and records the different states of the system. These states are the result of coding and grouping the…
Tomasz Hachaj, Marek R. Ogiela
The main novelty of this paper is presenting the adaptation of Gesture Description Language (GDL) methodology to sport and rehabilitation data analysis and classification. In this paper we showed that Lua language can be successfully used for adaptation of the GDL classifier to those tasks. The newly applied scripting…
Yuki Fujita, Yuki Nagase, Sarthak Pathak, Alessandro Moro + 3 more
With the rapid expansion of global food demand, aquaculture has become a critical pillar for future food security. However, aquaculture systems remain highly vulnerable to pathogenic bacteria, and rapid identification of antagonistic microbes is essential for sustainable disease control. Conventional evaluation…
Anna Sebernegg, Peter Kán, Hannes Kaufmann
The analysis of human motion opens up a wide range of possibilities, such as realistic training simulations or authentic motions in robotics or animation. One of the problems underlying motion analysis is the meaningful comparison of actions based on similarity measures. Since the motion analysis is…
Matteo Dunnhofer, Jean de dieu Uwisengeyimana, Kohitij Kar
How does motion contribute to robust object perception when appearance cues are unreliable? In natural scenes, camouflage, clutter, and occlusion can obscure object boundaries in static images, yet humans often resolve these ambiguities once objects move. Here we ask whether modern artificial vision systems capture…
Carl Harris, Kelly R. Finn, Peter U. Tse
The identification of behavior in video is a critical but time-consuming component in many areas of animal behavior research. Here, we introduce DeepAction, a deep learning-based toolbox for automatically annotating animal behavior in video. Our approach uses features extracted from raw video frames by a pretrained…
Jacob C. Kimmel, Andrew S. Brack, Wallace F. Marshall
Cells in culture display diverse motility behaviors that may reflect differences in cell state and function, providing motivation to discriminate between different motility behaviors. Current methods to do so rely upon manual feature engineering. However, the types of features necessary to distinguish between motility…
Kairi Masuda
Recently, phase-field modelling has been expanded to the molecular scale. However, such atomistic phase-field simulation cannot treat diffusive motions of molecules so far. Here, we modify phase-field modelling of molecular dynamics to include rigid body motions by employing quaternions and smooth random functions.…