Salient Motion Information Detection Technique Using Weighted Subtraction Image and Motion Vector

2006 ◽  
Author(s):  
Yeon-sung Choi ◽  
Piao Zaijun ◽  
Sun-woo Kim ◽  
Tae-hun Kim ◽  
Chun-bae Park
Keyword(s):  
Motion Vector ◽  
Detection Technique ◽  
Motion Information ◽  
Information Detection ◽  
Subtraction Image

scholarly journals Rock Particle Motion Information Detection Based on Video Instance Segmentation

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4108
Author(s):  
Man Chen ◽  
Maojun Li ◽  
Yiwei Li ◽  
Wukun Yi
Keyword(s):  
Loss Function ◽  
Particle Motion ◽  
Numerical Models ◽  
Major Axis ◽  
Angular Distance ◽  
Motion Information ◽  
Vibration Load ◽  
Rock Particle ◽  
Information Detection ◽  
Instance Segmentation

The detection of rock particle motion information is the basis for revealing particle motion laws and quantitative analysis. Such a task is crucial in guiding engineering construction, preventing geological disasters, and verifying numerical models of particles. We propose a machine vision method based on video instance segmentation (VIS) to address the motion information detection problem in rock particles under a vibration load. First, we designed a classification loss function based on Arcface loss to improve the Mask R-CNN. This loss function introduces an angular distance based on SoftMax loss that distinguishes the objects and backgrounds with higher similarity. Second, this method combines the abovementioned Mask R-CNN and Deep Simple Online and Real-time Tracking (Deep SORT) to perform rock particle detection, segmentation, and tracking. Third, we utilized the equivalent ellipse characterization method for segmented particles, integrating with the proportional calibration algorithm to test the translation and detecting the rotation by calculating the change in the angle of the ellipse’s major axis. The experimental results show that the improved Mask R-CNN obtains an accuracy of 93.36% on a self-created dataset and also has some advantages on public datasets. Combining the improved Mask R-CNN and Deep SORT could fulfill the VIS with a low ID switching rate while successfully detecting movement information. The average detection errors of translation and rotation are 5.10% and 14.49%, respectively. This study provides an intelligent scheme for detecting movement information of rock particles.

Application of CIT as an information detection technique in Japan

2014 ◽  
Vol 94 (2) ◽  
pp. 130
Author(s):  
Tokihiro Ogawa ◽  
Izumi Matsuda ◽  
Michiko Tsuneoka
Keyword(s):  
Detection Technique ◽  
Information Detection

Clinical Application and Results of the Assessment of Coronary Blood Flow by the Regional Precordial Xenon Residue Detection Technique

1978 ◽  
Vol 17 (04) ◽  
pp. 161-171
Author(s):  
H.-J. Engel ◽  
H. Hundeshagen ◽  
P. R. Lichtlen
Keyword(s):  
Wall Motion ◽  
High Flow ◽  
Detection Technique ◽  
Fatty Tissue ◽  
Technical Aspects ◽  
Residue Detection ◽  
High Affinity ◽  
Artery Disease ◽  
The Right ◽  
Drug Interventions

Methodological and technical aspects as well as application and results of the precordial Xenon-residue-detection technique are critically reviewed. The results concern mainly normal flow in various regions of the heart esp. in the free wall of the right and left ventricle, poststenotic flow in patients with coronary artery disease in relation to the degree of proximal nar-rowings as well as wall motion of the corresponding LV segment, bypassgraft flow and flow after drug interventions esp. nitrates, betablockers, the calcium-antagonist Nifedipine and the coronary dilator Dipyridamole. In spite of its serious limitations (high affinity of Xenon for fatty tissue, geometrical problems in the assessment of flow and its relation to anatomy, gas exchange in situations of high flow etc.), the technique is found to be a usefull investigatory tool. Due to its technical display and the related high costs routine application is, however, prohibitive.

Motion correction in PET/CT

2005 ◽  
Vol 44 (S 01) ◽  
pp. S46-S50 ◽  
Author(s):  
M. Dawood ◽  
N. Lang ◽  
F. Büther ◽  
M. Schäfers ◽  
O. Schober ◽  
...  
Keyword(s):  
Optical Flow ◽  
Motion Correction ◽  
Motion Vector ◽  
Emission Tomography ◽  
Cardiac Pet ◽  
Novel Approach ◽  
Positron Emission ◽  
Pet Ct ◽  
Flow Algorithm ◽  
Motion Vector Field

Summary:Motion in PET/CT leads to artifacts in the reconstructed PET images due to the different acquisition times of positron emission tomography and computed tomography. The effect of motion on cardiac PET/CT images is evaluated in this study and a novel approach for motion correction based on optical flow methods is outlined. The Lukas-Kanade optical flow algorithm is used to calculate the motion vector field on both simulated phantom data as well as measured human PET data. The motion of the myocardium is corrected by non-linear registration techniques and results are compared to uncorrected images.

ДОСВІД У ДИСКУСІЙНОМУ ПОЛІ ПОЗИЦІЮВАННЯ КАТЕГОРІЇ "ТВОРЧИЙ ПОТЕНЦІАЛ"

1970 ◽  
Vol 6 (1) ◽  
pp. 62-71
Author(s):  
Лариса Міщиха
Keyword(s):  
Coming Out ◽  
Motion Vector ◽  
Integral Form ◽  
Phenomenological Approach ◽  
Humanistic Psychology ◽  
Creative Potential ◽  
Form Of Life ◽  
Conceptual Background ◽  
Creative Experience ◽  
The One

У статті зроблено спробу проаналізувати феномен "досвід" у форматі дослідження творчого потенціалу особистості. Теоретико-методологічними засадами заявленої вище проблеми стали концептуальні засади гуманістичної психології, феноменологічного підходу. Досвід, як вагома складова творчого потенціалу особистості, розглядається у співвідношенні таких провідних тенденцій, як стереотипність та оригінальність. Наголошується, що досвід, з одного боку, може сприяти все більшій алгоритмізації та стереотипізації, консерватизму у розв’язанні нових задач, що безумовно перешкоджає творчості. З іншого боку, в осіб з високим творчим потенціалом він стає інтегрованою формою життєтворчості, де в структурі старих знань завжди знайдеться місце новим знанням як привнесених "ззовні", так і знанням, що їх отримує автор через власні ініціації, пошук, накреслюючи власноруч вектор руху. Звідси він отримує "побічний продукт" творчої діяльності – саморозвиток. Відтак творчий досвід трактується як такий, що містить у собі акумуляцію та інтеграцію усіх прижиттєвих творчих напрацювань особистості, готовність її до творчої діяльності та безперервної освіти. Суб’єкт творчої діяльності залишається відкритим новому досвіду, сповнений готовності до нового пізнання, творчих пошуків. In the article there was an attempt to analyze the phenomenon "experience" in the form of investigating a person’s creative potential. The theoretic methodological background of the performed above problem is conceptual background of humanistic psychology and phenomenological approach. Experience as an essential part of a person’s creative potential is regarded in relation to such leading trends as stereotype and originality. On the one hand, the experience is emphasized to be able to promote the model of algorithm and stereotype, conservatism in solving new tasks that is certain to inhibit creativity. On the other hand, personalities with high creative potential have an experience that is becoming an integral form of life work where in the structure of old knowledge you can always find a place for both new ones coming out "from inside" and the ones the author takes due to his own initiation and search. In this way he sketches motion vector and gets the "by-product" of his creativity, it means self-development. Hence, creative experience is interpreted as the one to absorb accumulation and integration of all creative experience in a person’s life; also his/her readiness to creativity and continuing education. The subject of creativity remains opened to a new experience that is fully ready for a new cognition and creativity.

Template Detection Technique From Assorted Web Pages

2012 ◽  
Vol 2 (9) ◽  
pp. 148-150 ◽  
Author(s):  
Marriboyina Rajendra ◽  
◽  
S. Suresh Babu
Keyword(s):  
Detection Technique ◽  
Web Pages

Visual Tracking of an Object with its Motion Information

2009 ◽  
Vol 129 (5) ◽  
pp. 977-984
Author(s):  
Atsutoshi Shimeno ◽  
Seiichi Uchida ◽  
Ryo Kurazume ◽  
Rin-ichiro Taniguchi ◽  
Tsutomu Hasegawa
Keyword(s):  
Visual Tracking ◽  
Motion Information
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