scholarly journals DEEP LEARNING AND ANTHROPOMETRIC PLANE BASED WORKFLOW MONITORING BY DETECTING AND TRACKING WORKERS

2018 ◽  
Vol XLII-1 ◽  
pp. 149-154
Author(s):  
N. A. Gard ◽  
J. Chen ◽  
P. Tang ◽  
A. Yilmaz
Keyword(s):  
Image Sequence ◽  
The Body ◽  
Uncertainty Measure ◽  
Worker Productivity ◽  
Anthropometric Measures ◽  
Trajectory Space ◽  
Detection And Tracking ◽  
Workflow Monitoring ◽  
Identity Changes ◽  
Body Joints

<p><strong>Abstract.</strong> The worker productivity, a critical variable in project management, significantly affects the progress of a project. The key to measuring productivity is analysis of activities, which provides necessary information by identifying how workers spend their time at certain areas in the site. In this work, we propose a novel joint image-trajectory space for automatic detection and tracking of workers using a single fixed camera. A two-branch convolutional neural network detects workers and their body joints. Instead of tracking the body joints in the image space, we transform detected joints onto virtual parallel planes called “Anthropometric Planes”. The detected joints are, then, tracked using a Kalman Filter on these planes which are created based on anthropometric measures of an average American male. Finally, an uncertainty measure is introduced to reduce the number of identity changes and to handle missing joints. The experiments conducted on an image sequence captured in a nuclear plant shows promising detection and tracking results.</p>

An Identity Prescribed & Non-Negotiable: The Childhood of Tibetan Tulkus

2018 ◽  
Author(s):  
Amy Hetherington
Keyword(s):  
Personal Autonomy ◽  
Tibetan Buddhism ◽  
The Body ◽  
Childhood Experiences ◽  
Physical Body ◽  
Familial Relationships ◽  
Spiritual Leader ◽  
Sanskrit Word ◽  
Family Leisure ◽  
Identity Changes

A lama is a spiritual leader or guider of the dharma in Tibetan Buddhism. When a lama dies their spirit is said to move into the body of an infant born shortly after their death, and this child is called a tulku. The word tulku translates to the Sanskrit word nirmanakaya. This means "pure physical body," and is in reference to a fully enlightened being. In the following essay, I engage in a discussion about the childhood experiences and notions of individuality of Tibetan tulkus. Due to the shortage of academic material on this topic, I draw on personal written accounts of specific tulkus and from these make my own inferences and conclusions. By exploring notions of discipline, familial relationships, personal autonomy, identity, and exploitation, I argue that the recognition and identification as a tulku does not allow one to experience an ordinary childhood and deprives one of pursuing a normative or undisturbed upbringing. In this essay, I utilize the term ‘normative’ to mean any version or rendition of childhood that the child would have experienced had they not been identified as a tulku. I hope my findings will be useful in further discussions about whether a child’s putative identity changes their right to access a typical childhood characterized by family, leisure, and personal exploration, or whether their tulku status overrides and reconditions this right.  

Computer Simulation for Ergonomic Bus Operator Workstation Design With Validation

1998 ◽  
Author(s):  
H. You ◽  
B. Oesterling ◽  
B. Lowe ◽  
B. J. Gilmore ◽  
A. Freivalds
Keyword(s):  
Computer Simulation ◽  
The Body ◽  
Medium Size ◽  
Kinematic Constraints ◽  
Test Track ◽  
Human Models ◽  
Workstation Design ◽  
Body Joints ◽  
Bus Operator ◽  
Simulation Package

Abstract Bus operator’s workstations neglecting ergonomic features can cause overall discomfort and injuries to the users. This paper presents use of JACK®, a human work simulation package, in designing and evaluating a bus operator workstation which can provide sufficient visibility, natural reach, and comfortable posture for operators who range from the 5th percentile female to the 95th percentile male as defined by SAE J833 (SAE, 1994). Three human models representing the two extremes and their medium size person were created and performed 15 bus operating tasks on the bus workstation implemented in JACK®. Kinematic constraints were defined between the human models and the workstation to simulate the tasks in a realistic manner. While the human models simulated the tasks, the body joints were monitored to determine if they exceeded their comfort ranges recommended by Diffrient et al. (1981) and the workstation was evaluated in terms of visibility, reach, comfort, and adjustability. After the workstation design was refined by iterative modifications and the required component adjustment ranges were determined, the workstation design was prototyped into an actual working bus. A jury of bus operators evaluated the workstation design by operating the prototype on a test track. The response from the operators indicated that the workstation would accommodate the intended population.

scholarly journals Body Joints and Trajectory Guided 3D Deep Convolutional Descriptors for Human Activity Identification

2019 ◽  
Vol 8 (12) ◽  
pp. 1016-1021
Keyword(s):  
Optical Flow ◽  
Human Activity ◽  
Large Scale ◽  
Recognition Accuracy ◽  
Computational Cost ◽  
The Body ◽  
Support Vector ◽  
3D Network ◽  
Body Joints ◽  
Body Joint

Human Activity Identification (HAI) in videos is one of the trendiest research fields in the computer visualization. Among various HAI techniques, Joints-pooled 3D-Deep convolutional Descriptors (JDD) have achieved effective performance by learning the body joint and capturing the spatiotemporal characteristics concurrently. However, the time consumption for estimating the locale of body joints by using large-scale dataset and computational cost of skeleton estimation algorithm were high. The recognition accuracy using traditional approaches need to be improved by considering both body joints and trajectory points together. Therefore, the key goal of this work is to improve the recognition accuracy using an optical flow integrated with a two-stream bilinear model, namely Joints and Trajectory-pooled 3D-Deep convolutional Descriptors (JTDD). In this model, an optical flow/trajectory point between video frames is also extracted at the body joint positions as input to the proposed JTDD. For this reason, two-streams of Convolutional 3D network (C3D) multiplied with the bilinear product is used for extracting the features, generating the joint descriptors for video sequences and capturing the spatiotemporal features. Then, the whole network is trained end-to-end based on the two-stream bilinear C3D model to obtain the video descriptors. Further, these video descriptors are classified by linear Support Vector Machine (SVM) to recognize human activities. Based on both body joints and trajectory points, action recognition is achieved efficiently. Finally, the recognition accuracy of the JTDD model and JDD model are compared.

Evaluation of the Canadian Aerobic Fitness Test with 10- to 15-Year-Old Children

2000 ◽  
Vol 12 (3) ◽  
pp. 300-311 ◽  
Author(s):  
Anne W. Garcia ◽  
Jennifer S. Zakrajsek
Keyword(s):  
Body Composition ◽  
Aerobic Fitness ◽  
Maximal Oxygen Consumption ◽  
Total Sample ◽  
Cardiovascular Fitness ◽  
The Body ◽  
Step Test ◽  
Treadmill Test ◽  
Anthropometric Measures ◽  
Fitness Test

The objective of this study was to evaluate the utility of the Canadian Aerobic Fitness Test (CAFT), a field measure of cardiovascular fitness. After providing anthropometric measures, 31 subjects, ages 10 to 15, completed a maximal treadmill test and the CAFT, a 3-stage step test. Multiple regression analyses were conducted where maximal oxygen consumption from the treadmill test was estimated based on the oxygen cost of stepping, age and various combinations of body composition. For the total sample, the best model (R = 0.79, SEE = 6.7), obtained from the sum of 4 skinfolds, was the body composition estimate. This model was slightly more accurate for males (R = 0.83, SEE = 6.0) than for females (R = 0.77, SEE = 7.0). When the regression equation incorporated less time consuming indicators of body composition, the predictive power, albeit lower, was still satisfactory. It appears that the CAFT can be a useful option for measuring cardiovascular fitness for youth, with the decision dependent on the purpose of the test, the testing resources, the setting, and the motivation of the subjects.

scholarly journals Body fat percentage in adolescents from Curitiba-PR metropolitan region: reference data using LMS method

2019 ◽  
Vol 20 (5) ◽  
pp. 373-380
Author(s):  
Wagner Luis Ripka ◽  
Eduardo Esmanhoto ◽  
Leandra Ulbricht
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Reference Method ◽  
Fat Distribution ◽  
Overweight And Obesity ◽  
The Body ◽  
Metropolitan Region ◽  
Fat Percentage ◽  
Anthropometric Measures ◽  
Lms Method

Percentile indicators, aided in its development by biomedical engineering, relative to body fat distribution in adolescents are able to help health professionals in better diagnosing overweight and obesity. The aim of this study was to calculate percentile values to body fat in adolescents aged between 12 and 17 years from the Curitiba-PR and its metropolitan region composed of 29 municipalities, having as reference method the dual energy x-ray absorptiometry (DXA) technology. After applying inclusion criteria for the adolescents, anthropometric measures of body fat and stature were taken, as well as evaluation of the body composition through DXA. The statistical analysis was grounded in the presentation of percentilic values developed by Cole and Green’s LMS method, where L stands for the skewness curve, M for the mean curve and S for the variance curve. In total, 390 boys were evaluated. The fat percentage values tend to show a decrease between the ages of 12 (22.8±5.1%) and 16 years (17.9±2.9%). Moreover, for the superior percentiles: 90th and 97th re-start to increase at the age of 17 after showing a decrease in the previous years. The L, M and S parameters, altogether with the percentiles created to evaluate body fat are interesting tools to tendency and evolution analyses, as well as to enable inferences to be made about the body composition of adolescents.

scholarly journals Detection and Tracking Method of Maritime Moving Targets Based on Geosynchronous Orbit Satellite Optical Images

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1092
Author(s):  
Fengqi Xiao ◽  
Fei Yuan ◽  
En Cheng
Keyword(s):  
Satellite Image ◽  
Image Sequence ◽  
Geosynchronous Orbit ◽  
Optical Remote Sensing ◽  
Large Area ◽  
Tracking Method ◽  
Detection And Tracking ◽  
Orbit Satellite ◽  
Optical Images ◽  
Long Time

The GF-4 geosynchronous orbit satellite can observe a large area for a long time, but the unique characteristics of its optical remote sensing image restrict the detection of maritime targets. This paper proposes a maritime target detection and tracking method for the GF-4 satellite image sequence based on the differences in information between frames in the image sequence. First, a preprocessing method is proposed for the unique characteristics of the image. Then, the ViBe (Visual Background Extractor) algorithm is used to extract the targets in the image sequence. After detection, the DCF-CSR (discriminative correlation filters with channel and spatial reliability) is used as a tracker to track and correlate the detected target to complete the task of predicting and monitoring the targets’ movements. Finally, through the comparative analysis of experiments with several classic methods, the feasibility and effectiveness of this method are verified.

TRACKING HUMAN MOTION FROM MONOCULAR SEQUENCES

2008 ◽  
Vol 08 (03) ◽  
pp. 455-471 ◽  
Author(s):  
LAURO SNIDARO ◽  
GIAN LUCA FORESTI ◽  
LUCA CHITTARO
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Digital Camera ◽  
Human Motion ◽  
Movie Industry ◽  
Sources Of Information ◽  
Robust Detection ◽  
Detection And Tracking ◽  
Novel Approach ◽  
Body Joints

In recent years, analysis of human motion has become an increasingly relevant research topic with applications as diverse as animation, virtual reality, security, and advanced human-machine interfaces. In particular, motion capture systems are well known nowadays since they are used in the movie industry. These systems require expensive multi-camera setups or markers to be worn by the user. This paper describes an attempt to provide a markerless low cost and real-time solution for home users. We propose a novel approach for robust detection and tracking of the user's body joints that exploits different algorithms as different sources of information and fuses their estimates with particle filters. This system may be employed for real-time animation of VRML or X3D avatars using an off-the-shelf digital camera and a standard PC.

scholarly journals The Influence Of Parathyroid Gland On Beta-Thalassaemia Patients in Kirkuk City

2019 ◽  
Vol 24 (2) ◽  
pp. 10
Author(s):  
Demet F. Saber ◽  
Mossa M. Marbut ◽  
Sami A. Zbaar
Keyword(s):  
Parathyroid Gland ◽  
The Body ◽  
Normal Male ◽  
Healthy Controls ◽  
Age Group ◽  
Significant Elevation ◽  
Anthropometric Measures ◽  
Blood Disorder ◽  
Abnormal Form ◽  
Bone Abnormalities

Thalassaemia is an inherited blood disorder in which the body makes an abnormal form of hemoglobin. The symptoms of thalassemia appear in the first two years of life and include paleness of the skin, anemia, bone abnormalities, weakness and growth retardations. (70) male thalassaemic patients are diagnosed in thalassaemia center at Azadi Teaching Hospital in Kirkuk city  and( 30) normal male healthy Controls were included in this study Anthropometric measures include, Age, BMI, were done for all participants. there is significant elevation, (P> 0.01) in PTH in P2 age group (9-13) years as compare with control healthy subjectsand as compare with P1(4-8) and P3(14-18) age group. http://dx.doi.org/10.25130/tjps.24.2019.023  

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