Recognition of Wrong Sports Movements Based on Deep Neural Network

During physical education (PE), the teaching quality is severely affected by problems like nonstandard technical movements or wrong demonstrative movements. High-speed photography can capture instantaneous movements that cannot be recognized with naked eyes. Therefore, this technology has been widely used to judge the sprint movements in track and field competitions, and assess the quality of artistic gymnastics. Inspired by three-dimensional (3D) image analysis, this paper proposes a method to recognize the standard and wrong demonstrative sports movements, based on 3D convolutional neural network (CNN) and graph theory. Firstly, a 3D posture perception strategy for demonstrative sports movements was constructed based on video sequence. Next, the authors provided the framework of the recognition system for standard and wrong demonstrative sports movements. After that, a 3D CNN was stablished to distinguish between standard and wrong demonstrative sports movements. The proposed method was proved effective and superior through experiments. The research results provide a good reference for the application of 3D image analysis in the recognition of other body behaviors and movements.

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Shadow Stereo, Image Filtering, and Constraint Propagation

Images and Artefacts of the Ancient World ◽

10.5871/bacad/9780197262962.003.0003 ◽

2005 ◽

Cited By ~ 2

Author(s):

Michael Brady ◽

Xiao-Bo Pan ◽

Veit Schenk ◽

Melissa Terras ◽

Paul Robertson ◽

...

Keyword(s):

Image Analysis ◽

Three Dimensional ◽

Constraint Propagation ◽

Stereo Image ◽

3D Image ◽

3D Image Analysis ◽

Documentary Sources ◽

Wood Grain ◽

Stereo Algorithm ◽

Image Analysis Techniques

It is agreed that stilus tablets are very important documentary sources, however they are the most difficult to decipher. The difficulties in deciphering them is due to the rough surface of the tablets, the low brightness contrast of the incisions, the dense wood-grain lines, and the badly stained and pitted nature of the tablets. All of these posit a challenge for conventional two-dimensional (2D) image analysis. This chapter aims to provide a system that would aid the historian in interpreting stilus tablets by improving the legibility of the tablets. It provides novel ways of determining the texts incised on the tablets. One of these is the use of three-dimensional (3D) image analysis techniques. Such a technique is capable of detecting incisions, compared to the 2D image analysis, and is portable and inexpensive. Another method that can be used is the use of shadow stereo. This method employs low raking angle light close to the plane of the tablet at different elevations. The chapter also discusses the image formation process and the process of choosing elevations for each azimuth direction. The chapter also includes a discussion on realizing the shadow stereo algorithm.

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High-speed brightfield 3-D imaging and 3-D image analysis of thick and overlapped cell clusters in cytological preparations

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100168827 ◽

1994 ◽

Vol 52 ◽

pp. 218-219

Author(s):

Robert W. Mackin

Keyword(s):

Image Analysis ◽

High Speed ◽

Three Dimensional ◽

Image Data ◽

Ccd Camera ◽

Objective Lens ◽

Array Processor ◽

Vaginal Smears ◽

Low Contrast ◽

Computer Controlled

This paper presents two advances towards the automated three-dimensional (3-D) analysis of thick and heavily-overlapped regions in cytological preparations such as cervical/vaginal smears. First, a high speed 3-D brightfield microscope has been developed, allowing the acquisition of image data at speeds approaching 30 optical slices per second. Second, algorithms have been developed to detect and segment nuclei in spite of the extremely high image variability and low contrast typical of such regions. The analysis of such regions is inherently a 3-D problem that cannot be solved reliably with conventional 2-D imaging and image analysis methods.High-Speed 3-D imaging of the specimen is accomplished by moving the specimen axially relative to the objective lens of a standard microscope (Zeiss) at a speed of 30 steps per second, where the stepsize is adjustable from 0.2 - 5μm. The specimen is mounted on a computer-controlled, piezoelectric microstage (Burleigh PZS-100, 68/μm displacement). At each step, an optical slice is acquired using a CCD camera (SONY XC-11/71 IP, Dalsa CA-D1-0256, and CA-D2-0512 have been used) connected to a 4-node array processor system based on the Intel i860 chip.

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3D Image Analysis for Evaluating Internal Deformation / Fracture Characteristics of Materials

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ◽

10.1109/iecon.2006.347950 ◽

2006 ◽

Author(s):

Mitsuru Nakazawa ◽

Yoshimitsu Aoki ◽

Yuji Kawai ◽

Masakazu Kobayashi ◽

Hiroyuki Toda

Keyword(s):

Image Analysis ◽

3D Image ◽

Fracture Characteristics ◽

3D Image Analysis ◽

Internal Deformation

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Age-Related Differences in Throwing Techniques Used by the Catcher in Baseball

Pediatric Exercise Science ◽

10.1123/pes.6.3.225 ◽

1994 ◽

Vol 6 (3) ◽

pp. 225-235 ◽

Cited By ~ 3

Author(s):

Shinji Sakurai ◽

Bruce Elliott ◽

J. Robert Grove

Keyword(s):

High Speed ◽

High Performance ◽

Age Groups ◽

Three Dimensional ◽

Transformation Method ◽

High Speed Photography ◽

Two Phase ◽

Ball Speed ◽

Age Related ◽

Release Speed

Three-dimensional (3-D) high speed photography was used to record the overarm throwing actions of five open-age, four 18-year-old, six 16-year- old, and six 14-year-old high-performance baseball catchers. The direct linear transformation method was used for 3-D space reconstruction from 2-D images of the catchers throwing from home plate to second base recorded using two phase-locked cameras operating at a nominal rate of 200 Hz. Selected physical capacity measures were also recorded and correlated with ball release speed. In general, anthropometric and strength measures significantly increased through the 14-year-old to open-age classifications, while a range of correlation coefficients from .50 to .84 was recorded between these physical capacities and ball speed at release. While many aspects of the kinematic data at release were similar, the key factors of release angle and release speed varied for the different age groups.

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High Resolution Micro CT Imaging and 3D Image Analysis of Paper Products

Proceedings of the 2nd International Congress on 3D Materials Science ◽

10.1007/978-3-319-48123-4_7 ◽

2014 ◽

pp. 41-46

Author(s):

Y. Sharma ◽

A. B. Phillion ◽

M. Martinez

Keyword(s):

Image Analysis ◽

High Resolution ◽

Ct Imaging ◽

Micro Ct ◽

3D Image ◽

3D Image Analysis

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3D Image analysis for evaluating internal deformation / fracture characteristics of materials

Electronics and Communications in Japan ◽

10.1002/ecj.10005 ◽

2008 ◽

Vol 91 (12) ◽

pp. 16-23

Author(s):

Mitsuru Nakazawa ◽

Yoshimitsu Aoki ◽

Hiroyuki Toda ◽

Masakazu Kobayashi

Keyword(s):

Image Analysis ◽

3D Image ◽

Fracture Characteristics ◽

3D Image Analysis ◽

Internal Deformation

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Renal Artery Perfusion Evaluation Before Transplantation via a 3-Dimensional Image Analysis System

International Surgery ◽

10.9738/intsurg-d-19-00001.1 ◽

2020 ◽

Vol 104 (3-4) ◽

pp. 188-193

Author(s):

Koichi Tomita ◽

Yuki Nakamura ◽

Takayoshi Yokoyama ◽

Naokazu Chiba ◽

Yu Kihara ◽

...

Keyword(s):

Image Analysis ◽

Kidney Transplantation ◽

Renal Artery ◽

Image Analysis System ◽

3D Image ◽

3 Dimensional ◽

3D Image Analysis ◽

Reconstruction Methods ◽

Analysis System ◽

Artery Perfusion

Background: The perfusion areas of renal arteries in renal transplantation are assessed via subjective observations during perfusion in a bench surgery; however, this evaluation method lacks reliability and objectivity. In this study, we aimed to evaluate the perfusion area of each main and side artery kidney graft using a 3-dimensional (3D) image analysis system. Methods: We enrolled 50 patients who had undergone living kidney transplantation with multiple renal artery grafting at our center between 2005 and 2017. All computed tomography images from donors were retrospectively analyzed using a 3D image analysis system. We then calculated the artery perfusion areas associated with the artery reconstruction method used. Results: The perfusion areas of side arteries, which were evaluated after surgery, were statistically different among cases employing different reconstruction methods (P < 0.001). The perfusion area of the ligated side arteries (volume, 10 mL; proportion, 6.1%) was smaller than that of the ligated side arteries where different reconstruction methods were used. Conclusion: A 3D image analysis system could provide an accurate visual representation of the vasculature prior to living donor transplantation. It could also enable calculation of perfusion area for each artery and preoperative prediction of the need for arterial reconstruction, thereby promoting safe kidney transplantation surgery.

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