Pairwise Shape configuration-based PSA for gait recognition under small viewing angle change

2011 ◽  
Author(s):  
Worapan Kusakunniran ◽  
Qiang Wu ◽  
Jian Zhang ◽  
Hongdong Li
Keyword(s):  
Gait Recognition ◽  
Viewing Angle ◽  
Angle Change

scholarly journals Cross-View Gait Recognition Based on Dual-Stream Network

2021 ◽  
Vol 25 (5) ◽  
pp. 671-678
Author(s):  
Xiaoyan Zhao ◽  
Wenjing Zhang ◽  
Tianyao Zhang ◽  
Zhaohui Zhang ◽  
◽  
...  
Keyword(s):  
Nearest Neighbor ◽  
Recognition Performance ◽  
Gait Recognition ◽  
Recognition Rate ◽  
Lower Limbs ◽  
Viewing Angle ◽  
Dynamic Features ◽  
Stream Network ◽  
Long Distance ◽  
Academy Of Sciences

Gait recognition is a biometric identification method that can be realized under long-distance and no-contact conditions. Its applications in criminal investigations and security inspections are thus broad. Most existing gait recognition methods adopted the gait energy image (GEI) for feature extraction. However, the GEI method ignores the dynamic information of gait, which causes the recognition performance to be greatly affected by viewing angle changes and the subject’s belongings and clothes. To solve these problems, in this paper a cross-view gait recognition method that uses a dual-stream network based on the fusion of dynamic and static features (FDSN) is proposed. First, the static features are extracted from the GEI and the dynamic features are extracted from the image sequence of the human’s lower limbs. Then, the two features are fused, and finally, a nearest neighbor classifier is used for classification. Comparative experiments on the CASIA-B dataset created by the Automation Institute of the Chinese Academy of Sciences showed that the FDSN achieves a higher recognition rate than a convolutional neural network (CNN) and Gaitset under changes in viewing angle or clothing. To meet our requirements, in this study a gait image dataset was collected and produced in a campus setting. The experimental results on this dataset show the effectiveness of the FDSN in terms of eliminating the effects of disruptive changes.

scholarly journals 21.3: Research of visually sensitive colors as viewing angle change on TFT‐LCD displays

2021 ◽  
Vol 52 (S1) ◽  
pp. 137-139
Author(s):  
Zhihui Li ◽  
Honglei Ji ◽  
Tianying Deng
Keyword(s):  
Viewing Angle ◽  
Angle Change ◽  
Lcd Displays

scholarly journals Gait Recognition as Non-Intrusive Biometric Using View Invariant Methods in Multi Temporal Images

2018 ◽  
Vol 7 (4.7) ◽  
pp. 127
Author(s):  
D. BEULAH DAVID ◽  
M. A.DORAIRANGASWAMY
Keyword(s):  
Face Detection ◽  
Gait Recognition ◽  
Viewing Angle ◽  
Gait Patterns ◽  
3D Images ◽  
Walking Pattern ◽  
Multi Temporal ◽  
Wrong Identification ◽  
Side Face ◽  
Time Image

Gait patterns have been used widely in recent years to authenticate users. Because it doesn’t require user intrusion, it is often used as a biometric to make authentication processes easier and hassle free. But there are various issues with this process. To start with, the viewing angle has to be constant which is quite difficult to achieve with limited number of cameras. Speed too can alter the way a person walks and cause inconsistencies in identification. Furthermore, complications might arise if the subject is carrying something. The weight can affect his walking pattern. Besides, a recent accident could also transform a person’s walking pattern and lead to wrong identification. Other biometrics such as face detection can be combined with this technique to reduce the issues leading to erroneous identification. In this paper, we propose a system to overcome the viewing angle discrepancies. The system takes in walking sequences as input and processes them to create images. This is converted into 3D images by means of stereovision algorithms. Using which, we can effectively match the real-time image with various image sequences in the database. Side face detection can enhance the accuracy further..  

A LIGHTWEIGHT SYSTEM TOWARDS VIEWING ANGLE AND CLOTHING VARIATION IN GAIT RECOGNITION

2021 ◽  
Vol 2 (1) ◽  
pp. 0-0
Keyword(s):  
Principal Component Analysis ◽  
Gait Recognition ◽  
Principal Component ◽  
Superior Performance ◽  
Multi Layer Perceptron ◽  
Viewing Angle ◽  
Computationally Efficient ◽  
Angle Variation ◽  
Second Stage ◽  
Low Dimensional

In this paper, the authors have proposed a computationally efficient, robust, and lightweight system for gait recognition. The proposed system contains two main stages: In the first stage, a classification network identifies optical flow corners in the normalized silhouette and calculates the distances traveled in every viewpoint which is further used by a regression model to identify the viewing angle. In the second stage, a feature extraction network computes the Gait Energy Image (GEI) for every viewpoint and then uses Principal Component Analysis (PCA) to extract low dimensional feature vectors from these GEI images. Finally, a multi-layer perceptron model is trained using the extracted principal components for every viewing angle. The performance of a system is comprehensively evaluated on the CASIA B and OULP gait dataset. The experimental results demonstrate the superior performance of a proposed system in viewing angle classification (100% accuracy), gait recognition (100% accuracy in normal walk), computational efficiency, robustness to clothing, and viewing angle variation.

How Socially Relevant Visual Characteristics of Avatars Influence Impression Formation

2010 ◽  
Vol 22 (1) ◽  
pp. 37-43 ◽  
Author(s):  
David Weibel ◽  
Daniel Stricker ◽  
Bartholomäus Wissmath ◽  
Fred W. Mast
Keyword(s):  
Impression Formation ◽  
Pupil Size ◽  
Conscious Perception ◽  
Viewing Angle ◽  
Frontal View ◽  
Computer Mediated ◽  
First Impression ◽  
Visual Characteristics ◽  
Socially Relevant ◽  
Blink Frequency

Like in the real world, the first impression a person leaves in a computer-mediated environment depends on his or her online appearance. The present study manipulates an avatar’s pupil size, eyeblink frequency, and the viewing angle to investigate whether nonverbal visual characteristics are responsible for the impression made. We assessed how participants (N = 56) evaluate these avatars in terms of different attributes. The findings show that avatars with large pupils and slow eye blink frequency are perceived as more sociable and more attractive. Compared to avatars seen in full frontal view or from above, avatars seen from below were rated as most sociable, self-confident, and attractive. Moreover, avatars’ pupil size and eyeblink frequency escape the viewer’s conscious perception but still influence how people evaluate them. The findings have wide-ranging applied implications for avatar design.

In-Plane Bending and Shear Deformation of Belt Contributions on Tire Cornering Stiffness Characteristics

2020 ◽  
Author(s):  
Gibin Gil ◽  
Sujin Lee
Keyword(s):  
Mathematical Model ◽  
Shear Deformation ◽  
Beam Theory ◽  
Slip Angle ◽  
Wear Properties ◽  
Angle Change ◽  
Foundation Model ◽  
Plane Bending ◽  
Stiffness Characteristics ◽  
Brush Model

ABSTRACT In radial tires, belt structure plays a role of minimizing the lateral deflection of carcass, which has a significant influence on the cornering and wear properties of a tire. The deflection of carcass affects the magnitude of tread block deformation when the tire is under the slip angle. As a result, it can change the cornering stiffness characteristics of the tire, especially when the vertical load is high. During tire development, a tire design engineer tries to find the optimal belt ply angle that satisfies the various performance requirements simultaneously, but it is not an easy task because the effect of belt angle change is different depending on the size of the tire. There have been many attempts to construct a mathematical model that represents the structural properties of the belt package, including the string-based model and the beam on elastic foundation model. But, in many cases, only the in-plane bending of belt is considered and the shear deformation is not taken into consideration. In this study, the effect of belt angle change on belt stiffness is analyzed using a mathematical model based on the Timoshenko beam theory. This model can account for the in-plane bending and shear deformation of the belt structure at the same time. The results of the analysis show how the contribution of bending and shear is changed depending on a tire design parameter, herein the belt cord angle. The effect of belt ply angle change on cornering stiffness is investigated by means of the brush model including belt flexibility. The prediction by the brush model is compared with the measurement using a Flat-trac machine, and the validity of the model is discussed.

HYGIENIC MODELING FOR THE EXAMINATION OF BUILDINGS AND EQUIPMENT OF EDUCATIONAL INSTITUTIONS DURING THE COMMISSION STAGE

2018 ◽  
pp. 27-30 ◽  
Author(s):  
V.R. Kuchma ◽  
M.I. Stеpanova ◽  
T.V. Shumkova ◽  
I.E. Aleksandrova
Keyword(s):  
Educational Institution ◽  
Well Being ◽  
Optimal Level ◽  
Optimal Placement ◽  
Educational Institutions ◽  
Viewing Angle ◽  
Optimal Conditions ◽  
Educational Facilities ◽  
Learning Conditions ◽  
Children Education

For the purpose of the development of novel approaches during the commission stage, the hygienic assessment of conditions of training in specially constructed innovative building of SKOLKOVO International Gymnasium was performed. Hygienic examination of innovative architectural and planning solutions, learning conditions and hygienic modeling of the optimal placement of furniture and equipment in multi-faceted educational facilities with panoramic glazing made it possible to predict the provision of the gymnasium with an optimal level of sanitary and epidemiological well-being of students. This is achieved by the innovative layout of the gymnasium building and its territory. Hygienic specification of zoning of both buildings and premises of the educational institution, include the requirements to satisfy the hygienic criteria on children education, motor activity, organization of proper nutrition, and using the building as a center for family leisure. Hygienic modeling of educational furniture and equipment provides optimal conditions (viewing angle) for visual work of students in all multifaceted classes. The obtained data are the basis for amendments to the state sanitary and epidemiological rules and regulations in the field of organization of education and upbringing of children.

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