scholarly journals Method of fragment based tracking of displacement of a large areal object in images

2021 ◽  
Vol 2061 (1) ◽  
pp. 012113
Author(s):  
V V Lopatina
Keyword(s):  
Real Time ◽  
Vertical Displacement ◽  
Maritime Transport ◽  
Automatic Data ◽  
Transport Industry ◽  
Real Time Tracking ◽  
Computer Vision Systems ◽  
Loading And Unloading ◽  
Software And Hardware ◽  
Automatic Data Analysis

Abstract Automation of technological processes using computer vision systems necessitates fragment based tracking of the displacement of a large areal object in images. Examples of such processes are monitoring mooring operations, loading and unloading operations, analyzing the environment from the vessel’s bridge, and tracking berthing. These processes are cyclical in the maritime transport industry and thus require methods for automatic data analysis in 24×7 mode. The paper proposes a method of fragment based tracking of the displacement of a large areal object in images in real time. The algorithm that underlies the method enables tracking the object fragment using convolution of pixel matrices and ensures data processing by frequency methods, including computational operations using Fourier images. The developed method is applicable for real-time tracking the object in images, even when it can be hardly distinguished from the background. The method of tracking the displacement of a large areal object proposed in the study can be used in software and hardware meters for longitudinal and vertical displacement, which are used in the maritime transport industry.

Automatic data analysis of real-time song and locomotor activity in zebra finches

2013 ◽  
Vol 9 (1) ◽  
pp. 91
Author(s):  
Susanne L.T. Cappendijk ◽  
Geoffery L. Miller ◽  
Patrick L. Yount ◽  
Robert A. Van Engelen
Keyword(s):  
Data Analysis ◽  
Locomotor Activity ◽  
Real Time ◽  
Zebra Finches ◽  
Automatic Data ◽  
Automatic Data Analysis

An Overview of Data Aggregation Architecture for Real-Time Tracking with Sensor Networks

2006 ◽  
Author(s):  
Tian He ◽  
Lin Gu ◽  
Liqian Luo ◽  
Ting Yan ◽  
John A. Stankovic ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Data Aggregation ◽  
Real Time Tracking

scholarly journals Enhancing spatial perception through sound: mapping human movements into MIDI

2021 ◽  
Author(s):  
Bernardo Breve ◽  
Stefano Cirillo ◽  
Mariano Cuofano ◽  
Domenico Desiato
Keyword(s):  
Real Time ◽  
User Study ◽  
Spatial Perception ◽  
Human Movements ◽  
Different Types ◽  
Real Time Tracking ◽  
People’S Perceptions ◽  
Novel Algorithm

AbstractGestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on. Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing processes. To this end, new forms to express the people’s perceptions could help their interpretation, like in the case of music. In this paper, we investigate the user’s perception associated with the interpretation of sounds by highlighting how sounds can be exploited for helping users in adapting to a specific environment. We present a novel algorithm for mapping human movements into MIDI music. The algorithm has been implemented in a system that integrates a module for real-time tracking of movements through a sample based synthesizer using different types of filters to modulate frequencies. The system has been evaluated through a user study, in which several users have participated in a room experience, yielding significant results about their perceptions with respect to the environment they were immersed.

Real-time tracking lysosomal pH changes under heatstroke and redox stress with a novel near-infrared emissive probe

Talanta ◽  
2021 ◽  
Vol 228 ◽  
pp. 122184
Author(s):  
Qingfeng Xia ◽  
Shumin Feng ◽  
Jiaxin Hong ◽  
Guoqiang Feng
Keyword(s):  
Real Time ◽  
Near Infrared ◽  
Redox Stress ◽  
Lysosomal Ph ◽  
Ph Changes ◽  
Real Time Tracking ◽  
Emissive Probe

Unmanned aerial vehicle reconnaissance image recognition based on convolutional neural network

2021 ◽  
pp. 1-10
Author(s):  
Lipeng Si ◽  
Baolong Liu ◽  
Yanfang Fu
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Image Recognition ◽  
Error Detection ◽  
Convolution Neural Network ◽  
Data Sets ◽  
Small Target ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
Real Time Tracking

The important strategic position of military UAVs and the wide application of civil UAVs in many fields, they all mark the arrival of the era of unmanned aerial vehicles. At present, in the field of image research, recognition and real-time tracking of specific objects in images has been a technology that many scholars continue to study in depth and need to be further tackled. Image recognition and real-time tracking technology has been widely used in UAV aerial photography. Through the analysis of convolution neural network algorithm and the comparison of image recognition technology, the convolution neural network algorithm is improved to improve the image recognition effect. In this paper, a target detection technique based on improved Faster R-CNN is proposed. The algorithm model is implemented and the classification accuracy is improved through Faster R-CNN network optimization. Aiming at the problem of small target error detection and scale difference in aerial data sets, this paper designs the network structure of RPN and the optimization scheme of related algorithms. The structure of Faster R-CNN is adjusted by improving the embedding of CNN and OHEM algorithm, the accuracy of small target and multitarget detection is improved as a whole. The experimental results show that: compared with LENET-5, the recognition accuracy of the proposed algorithm is significantly improved. And with the increase of the number of samples, the accuracy of this algorithm is 98.9%.

Real-time tracking of lipid droplets interactions with other organelles by a high signal/noise probe

2021 ◽  
pp. 109366
Author(s):  
Wei Ren ◽  
Dong Wang ◽  
Wei Huang ◽  
Jiajia Li ◽  
Xiaohe Tian ◽  
...  
Keyword(s):  
Real Time ◽  
Lipid Droplets ◽  
High Signal ◽  
Signal Noise ◽  
Real Time Tracking

scholarly journals Application of paleoseismological techniques to the study of Late Pleistocene-Holocene deep-seated gravitational movements at the Mortirolo Pass (central Alps, Italy)

2001 ◽  
Vol 80 (3-4) ◽  
pp. 209-227 ◽  
Author(s):  
M. Onida ◽  
F. Galadini ◽  
F. Forcella
Keyword(s):  
Late Pleistocene ◽  
Large Scale ◽  
Vertical Displacement ◽  
Central Alps ◽  
Glacial Retreat ◽  
Activation Mechanisms ◽  
Loading And Unloading ◽  
Shear Planes ◽  
Geometry And Kinematics

AbstractPaleoseismological techniques have been used to investigate gravitational deformations at the Mortirolo Pass (Valtellina region, central Alps), in order to improve the knowledge on the activation mechanisms and the evolution of deep-seated gravitational slope movements. The deformation has been responsible for mass sliding towards the Valtellina depression through the activation of several-hundred-metre-long shear planes. Minor shear planes dipping towards the mountain played the role of antithetic structures. Four trenches were excavated across scarps representing the surficial expression of shear planes affecting the bedrock and Late Pleistocene-Holocene deposits. The excavations enabled to investigate the stratigraphy of Quaternary deposits and the geometry and kinematics of the shear planes affecting them. Radiocarbon analyses on organic material contained in sediments and paleosols enabled to define a succession of displacement events which occurred during the Late Pleistocene-Holocene. Collected data indicate the persistence of the activity until recent times (last movement related to 1810-1540 cal. BP). A sudden movement has been detected along one of the main shear surfaces (dipping towards the valley) with a vertical displacement of several metres. In contrast, numerous displacements (with lower vertical offset) have been detected along the antithetic shear planes. Different hypotheses have been proposed in the past to define the origin of huge gravitational movements (glacial retreat, uplift of the Alpine chain, fault activity). However, the Late Pleistocene cycles of glacial loading and unloading on the mountain slopes seem to be the most probable factors causing deep-seated gravitational movements in the investigated region. A recent dramatic landslide in an area adjacent to the investigated one (Mt. Zandila-Valpola) testifies to the paroxistic evolution of the large scale gravitational deformations. The densely inhabited Valtellina region is affected by a large number of gravitational structures similar to those of the Mortirolo area. In consideration of the possible effects of the paroxistic activation of these structures, detailed studies on the chronology and kinematics of the deformations through the application of paleoseismological techniques should therefore be encouraged.

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