A study on the application of computer video analysis recording technology and image processing in assisted training system

2021 ◽  
Author(s):  
Zhang Liying
Keyword(s):  
Image Processing ◽  
Video Analysis ◽  
Training System ◽  
Recording Technology

Processing of Images and Videos for Extracting Text Information from Clustered Features Using Graph Wavelet Transform

2019 ◽  
Vol 16 (2) ◽  
pp. 557-561
Author(s):  
Merlin L. M. Livingston ◽  
Agnel L. G. X. Livingston
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Video Analysis ◽  
Hill Climbing ◽  
Primary Role ◽  
Hill Climbing Algorithm ◽  
Meaningful Information ◽  
Spectral Graph ◽  
Text Information ◽  
Sensitivity Specificity

Image processing is an interesting domain for extracting knowledge from real time video and images for surveillance, automation, robotics, medical and entertainment industries. The data obtained from videos and images are continuous and hold a primary role in semantic based video analysis, retrieval and indexing. When images and videos are obtained from natural and random sources, they need to be processed for identifying text, tracking, binarization and recognising meaningful information for succeeding actions. This proposal defines a solution with assistance of Spectral Graph Wave Transform (SGWT) technique for localizing and extracting text information from images and videos. K Means clustering technique precedes the SGWT process to group features in an image from a quantifying Hill Climbing algorithm. Precision, Sensitivity, Specificity and Accuracy are the four parameters which declares the efficiency of proposed technique. Experimentation is done from training sets from ICDAR and YVT for videos.

Development of an Unmanned Combat Vehicle with its Training System

2015 ◽  
Vol 764-765 ◽  
pp. 768-772
Author(s):  
Shih Sung Lin ◽  
Yu Wei Liu
Keyword(s):  
Image Processing ◽  
Automatic Control ◽  
Training System ◽  
Unmanned Ground Vehicle ◽  
Ground Vehicle ◽  
Combat Vehicle ◽  
Control Devices ◽  
Control Technologies ◽  
Set Up ◽  
Study Designs

By using image processing and automatic control technologies, this study designs an unmanned ground vehicle (UGV) that can be operated by various control devices, such as laptops and joysticks. A camera is set up on the UGV to capture the sight around it, and then can send the video to the back end system in a wireless manner. Besides, we design an attacking system that allows users to do the zeroing correction for shooting the target precisely. Moreover, a shooting training system is designed to improve the convenience for target practice. It not only can send the result to the back end system immediately but also can simulate the enemy movement to make the training more reality.

Development and Application of Sports Video Analysis Platform in Sports Training

2019 ◽  
Vol 23 (1) ◽  
pp. 139-145
Author(s):  
Shanshan Pu ◽  
Keyword(s):  
Video Analysis ◽  
Recall Rate ◽  
Training System ◽  
Sports Training ◽  
Training Video ◽  
Sports Video ◽  
Sports Video Analysis ◽  
Training Quality ◽  
Analysis System ◽  
Analysis Platform

The sports video analysis system in sports training can improve the ability of motion analysis and improve the training quality of sports training video playback. In view of the shortcomings of the current motion video analysis system, a new sports training video analysis system is proposed. The overall design of the video analysis system of the sports training system is analyzed, and the detailed design of the system is analyzed. Finally, the performance of the system is tested. The results show that the system can accurately analyze the video and image information of sports training. The accuracy of the key frame extraction is high and the recall rate is high. It can be used to guide the training of sports training.

scholarly journals Peach Flower Monitoring Using Aerial Multispectral Imaging

2016 ◽  
Author(s):  
Ryan Horton ◽  
Esteban Cano ◽  
Duke Bulanon ◽  
Esmaeil Fallahi
Keyword(s):  
Image Processing ◽  
Crop Production ◽  
Near Infrared ◽  
Multispectral Imaging ◽  
Vegetation Indices ◽  
Fruit Trees ◽  
Training System ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Individual Tree

One of the tools for optimal crop production is regular monitoring and assessment of crops. During the growing season of fruit trees, the bloom period has increased photosynthetic rates that correlate with the fruiting process. This paper presents the development of an image processing algorithm to detect peach blossoms on trees. Images of an experimental peach orchard were acquired from the Parma Research and Extension Center of the University of Idaho using an off-the-shelf unmanned aerial system (UAS), equipped with a multispectral camera (Near-infrared, Green, Blue). The orchard has different stone fruit varieties and different plant training system. Individual tree images (high-resolution) and arrays of trees images (low-resolution) were acquired to evaluate the detection capability. The image processing algorithm was based on different vegetation indices. Initial results showed that the image processing algorithm could detect peach blossoms and demonstrate good potential as a monitoring tool for orchard management.

scholarly journals Detecção de Roubo de Computadores em Laboratório Usando Visão Computacional

2020 ◽  
Author(s):  
Gabriel Andrade Cordeiro ◽  
Giovani Grockotzki ◽  
Itamar Junior de Azevedo ◽  
João Mantovani ◽  
Matheus Henrique da Silva Santos ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Video Analysis ◽  
Region Of Interest ◽  
Background Information ◽  
Laboratory Monitoring ◽  
Exit Door ◽  
Definition Of ◽  
Computer Labs

Computer theft in computer labs causes academic damage to coursesthat require this resource and ends up directly harming students. Inthis context, this paper describes a methodology applied to detectcomputer removal through video analysis in real-time. For eachframe, image processing and computer vision techniques were used,subtracting background information, binarization, segmentationof the region of interest and definition of contours. The case studywas developed at a Brazilian university. For theft detection, it wasconsidered a black computer tower case carried by people leavingthe laboratory. Monitoring is carried out by a camera positioned infront of the lab exit door. The software developed alerts a suspiciousactivity that may indicate a possible computer theft.

Design and Evaluation of a Portable Laparoscopic Training System Using Virtual Reality

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohsen Zahiri ◽  
Ryan Booton ◽  
Ka-Chun Siu ◽  
Carl A. Nelson
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Laparoscopic Surgery ◽  
Muscle Activity ◽  
Completion Time ◽  
Training System ◽  
Surgical Instruments ◽  
Task Completion ◽  
P Value ◽  
Training Time

The ubiquitous nature of laparoscopic surgery and the decreased training time available for surgeons are driving an increased need for effective training systems to help surgeons learn different procedures. A cost-effective and user-friendly simulator has been designed to imitate specific training tasks for laparoscopic surgery in virtual environments via image processing and computer vision. The capability of using various actual surgical instruments suited for these specific procedures gives heightened fidelity to the simulator. Image processing via matlab software provides real-time mapping of the graspers in the workspace to the virtual reality (VR) environment (vizard software). Two different tasks (peg transfer and needle passing) were designed to evaluate trainees and compare their performance with characteristics of expert surgeons. Pilot testing of the system was carried out with 11 subjects to validate the similarity of this device with an existing surgical box trainer. Task completion time and muscle activity have been used as metrics for evaluation. The decrease in completion time for all subjects suggests similarity of skills transfer for both simulators. In addition, the p-value of muscle activity showed no significant differences for most muscles in the peg transfer task when using either the VR or physical analog environment and no significant differences for about half of the muscles in the needle passing task. Based on the results, the new proposed VR simulator appears to be a viable alternative to help trainees gain laparoscopic skills.

Sign in / Sign up

Export Citation Format

Share Document