scholarly journals In Good Shape: Robust People Detection based on Appearance and Shape

2011 ◽  
Author(s):  
Leonid Pishchulin ◽  
Arjun Jain ◽  
Christian Wojek ◽  
Thorsten Thormaehlen ◽  
Bernt Schiele
Keyword(s):  
People Detection ◽  
Good Shape

The Special Features of Radar Developments for People Detection under Obstructions

2004 ◽  
Vol 61 (7-12) ◽  
pp. 875-893 ◽  
Author(s):  
I. A. Vyazmitinov ◽  
Ye. I. Myroshnychenko ◽  
O. V. Sytnik
Keyword(s):  
People Detection

Issues and Challenges of Asian Development

Worldview ◽  
1975 ◽  
Vol 18 (7-8) ◽  
pp. 36-39
Author(s):  
Saburo Okita
Keyword(s):  
Growth Opportunities ◽  
Asian Development ◽  
Good Shape ◽  
Monetary System ◽  
The Social ◽  
The World ◽  
Short And Long Term ◽  
Oil Crisis ◽  
Complicated Nature

The economy of Southeast Asia has been in relatively good shape in spite of the instability of the world monetary system, trade deficits, and the worldwide oil crisis. There are promising factors for economic growth, opportunities for employment, and possibilities of rising income. But Asian development presents short-and long-term problems of a very complicated nature. One of the most serious problems is inflation and its impact on the social and political programs of individual countries. At the same time, there are severe shortages of basic commodities, such as oil and food. My own country, Japan, is among those affected.

scholarly journals Smart Video Surveillance System Based on Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2958
Author(s):  
Antonio Carlos Cob-Parro ◽  
Cristina Losada-Gutiérrez ◽  
Marta Marrón-Romera ◽  
Alfredo Gardel-Vicente ◽  
Ignacio Bravo-Muñoz
Keyword(s):  
Computer Vision ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Smart Camera ◽  
People Detection ◽  
Camera System ◽  
Edge Node ◽  
New Processing ◽  
Processor Unit

New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities. In contrast, this paper presents a smart video surveillance system executing AI algorithms in low power consumption embedded devices. The computer vision algorithm, typical for surveillance applications, aims to detect, count and track people’s movements in the area. This application requires a distributed smart camera system. The proposed AI application allows detecting people in the surveillance area using a MobileNet-SSD architecture. In addition, using a robust Kalman filter bank, the algorithm can keep track of people in the video also providing people counting information. The detection results are excellent considering the constraints imposed on the process. The selected architecture for the edge node is based on a UpSquared2 device that includes a vision processor unit (VPU) capable of accelerating the AI CNN inference. The results section provides information about the image processing time when multiple video cameras are connected to the same edge node, people detection precision and recall curves, and the energy consumption of the system. The discussion of results shows the usefulness of deploying this smart camera node throughout a distributed surveillance system.

scholarly journals Net-Shape NiTi Shape Memory Alloy by Spark Plasma Sintering Method

2021 ◽  
Vol 11 (4) ◽  
pp. 1802
Author(s):  
Sneha Samal ◽  
Orsolya Molnárová ◽  
Filip Průša ◽  
Jaromír Kopeček ◽  
Luděk Heller ◽  
...  
Keyword(s):  
Shape Memory ◽  
Shape Memory Effect ◽  
Spark Plasma Sintering ◽  
Memory Effect ◽  
Niti Alloy ◽  
Niti Shape Memory Alloy ◽  
Good Shape ◽  
Plasma Sintering ◽  
Shape Memory Effects ◽  
Spark Plasma

An analysis of the shape memory effect of a NiTi alloy by using the spark plasma sintering approach has been carried out. Spark plasma sintering of Ti50Ni50 powder (20–63 µm) at a temperature of 900 °C produced specimens showing good shape memory effects. However, the sample showed 2.5% porosity due to a load of 48 MPa. Furthermore, an apparent shape memory effect was recorded and the specimens were characterized by uniformity in chemical composition and shape memory alloys of NiTi showed significant austenite phases with a bending strain recovery of >2.5%.

scholarly journals An Investigation into the Effect of Rolling Reduction on 3D Curved Parts Rolling Process

Metals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1209
Author(s):  
Xiang Chang ◽  
Wenzhi Fu ◽  
Mingzhe Li ◽  
Xintong Wang ◽  
Weifeng Yang ◽  
...  
Keyword(s):  
Element Model ◽  
Rolling Process ◽  
Rolling Reduction ◽  
Shape Accuracy ◽  
Bending Deformation ◽  
Good Shape ◽  
Longitudinal Bending ◽  
Gap Height ◽  
Roll Gap ◽  
Forming Tools

Rolling technology based on arc-shaped rollers is a novel method for rapid manufacturing of 3D curved parts. The method uses a pair of arc-shaped rollers (a convex roller and a concave roller) as forming tools, forming an unevenly distributed roll gap. The sheet metal has both transverse bending and longitudinal uneven extension during rolling, so that surface parts with double curvature are processed. The curvature of the formed surface part can be changed by changing the rolling reduction. Changing the vertical distance between the rollers will cause the overall change of the roll gap height, which will inevitably have a great impact on the forming effect of formed 3D curved parts. In this paper, a finite element model and experiment with different rolling reductions was designed; the influence of rolling reduction on the bending deformation and shape accuracy of formed 3D curved parts was studied. The results show that, with the slight increase of rolling reduction (from 0.04 to 0.12 mm), the longitudinal bending deformation of the formed 3D curved part increases significantly, but its transversal bending is almost not affected. When the maximum rolling reduction is 0.04 and 0.06 mm (the corresponding minimum rolling reduction is less than or equal to zero), the shape accuracy of the formed 3D curved parts is not good enough; when the maximum rolling reduction is greater than 0.06 mm (the corresponding minimum rolling reduction is greater than zero), the shape accuracy of the formed 3D curved parts is significantly better. This indicates that, for the rolling of 3D curved parts based on arc-shaped rollers, ensuring that the minimum rolling reduction is greater than zero is the key to ensuring good shape accuracy of the formed 3D curved parts.

scholarly journals Laser Patterning a Graphene Layer on a Ceramic Substrate for Sensor Applications

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2134 ◽  
Author(s):  
Marcin Lebioda ◽  
Ryszard Pawlak ◽  
Witold Szymański ◽  
Witold Kaczorowski ◽  
Agata Jeziorna
Keyword(s):  
High Speed ◽  
Graphene Layer ◽  
Ceramic Substrate ◽  
Direct Process ◽  
Laser Technology ◽  
Sensor Applications ◽  
Laser Patterning ◽  
Good Shape ◽  
Shape Mapping ◽  
Sensory Layer

This paper describes a method for patterning the graphene layer and gold electrodes on a ceramic substrate using a Nd:YAG nanosecond fiber laser. The technique enables the processing of both layers and trimming of the sensor parameters. The main aim was to develop a technique for the effective and efficient shaping of both the sensory layer and the metallic electrodes. The laser shaping method is characterized by high speed and very good shape mapping, regardless of the complexity of the processing. Importantly, the technique enables the simultaneous shaping of both the graphene layer and Au electrodes in a direct process that does not require a complex and expensive masking process, and without damaging the ceramic substrate. Our results confirmed the effectiveness of the developed laser technology for shaping a graphene layer and Au electrodes. The ceramic substrate can be used in the construction of various types of sensors operating in a wide temperature range, especially the cryogenic range.

Bayesian fusion of laser and vision for multiple People Detection and tracking

2008 ◽  
Author(s):  
Xuan Song ◽  
Jinshi Cui ◽  
Huijing Zhao ◽  
Hongbin Zha
Keyword(s):  
People Detection ◽  
Detection And Tracking ◽  
Bayesian Fusion

People Detection and Tracking with TOF Sensor

2008 ◽  
Author(s):  
Rudolf Tanner ◽  
Martin Studer ◽  
Adriano Zanoli ◽  
Andreas Hartmann
Keyword(s):  
People Detection ◽  
Detection And Tracking

Applications for a people detection and tracking algorithm using a time-of-flight camera

2014 ◽  
Vol 75 (17) ◽  
pp. 10769-10786 ◽  
Author(s):  
Carsten Stahlschmidt ◽  
Alexandros Gavriilidis ◽  
Jörg Velten ◽  
Anton Kummert
Keyword(s):  
Time Of Flight ◽  
Tracking Algorithm ◽  
People Detection ◽  
Detection And Tracking

Tailoring vinylogous urethane chemistry for the cross-linked polybutadiene: Wide freedom design, multiple recycling methods, good shape memory behavior

Polymer ◽  
2018 ◽  
Vol 148 ◽  
pp. 202-210 ◽  
Author(s):  
Zhiyong Liu ◽  
Changxu Zhang ◽  
Zixing Shi ◽  
Jie Yin ◽  
Ming Tian
Keyword(s):  
Shape Memory ◽  
Shape Memory Behavior ◽  
Good Shape ◽  
The Cross ◽  
Multiple Recycling
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