scholarly journals Video Based Suspicious Human Behaviour Recognition System

Author(s):  
Dr. Chetana Prakash

In recent years, the number of surveillance cameras installed to monitor private and public spaces has increased rapidly. The demand has raised for smarter video surveillance of public and private spaces using intelligent vision systems which can differentiate between 'suspicious' and 'unsuspicious' behaviours according to the human observer. Generally, the video streams are constantly recorded or monitored by operators. In these cases, an intelligent system can give more accurate performance than a human. We have proposed a method called motion influence map under machine learning for representing human activities. Optical-flow is computed for each pixel in a frame that are processed sequentially. The key feature of the proposed motion influence map is that it effectively reflects the motion characteristics such as movement speed, movement direction, and size of the objects or subjects and their interactions within a frame sequence. It further extracts frames of high motion influence values and compares with the testing frames to automatically detect suspicious activities.

Author(s):  
José van

Platformization affects the entire urban transport sector, effectively blurring the division between private and public transport modalities; existing public–private arrangements have started to shift as a result. This chapter analyzes and discusses the emergence of a platform ecology for urban transport, focusing on two central public values: the quality of urban transport and the organization of labor and workers’ rights. Using the prism of platform mechanisms, it analyzes how the sector of urban transport is changing societal organization in various urban areas across the world. Datafication has allowed numerous new actors to offer their bike-, car-, or ride-sharing services online; selection mechanisms help match old and new complementors with passengers. Similarly, new connective platforms are emerging, most prominently transport network companies such as Uber and Lyft that offer public and private transport options, as well as new platforms offering integrated transport services, often referred to as “mobility as a service.”


This book focuses on the relationship between private and public education in a comparative context. The contributors emphasize the relationship between private choices and public policy as they affect the division of labor between public and private non-profit schools, colleges, and universities. Their essays examine the kinds of choices offered by each sector, as well as the effects of present and proposed public policies on the intersectoral division of labor. Written from neither a pro-private nor a pro-public point of view, the contributors point to the ways in which they believe one sector or the other may be preferable for certain goals or groups.


Author(s):  
Lin Han ◽  
Lu Han

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.


2015 ◽  
Vol 54 (1) ◽  
pp. 106-116 ◽  
Author(s):  
Yu Wang ◽  
Hong-Qing Wang ◽  
Lei Han ◽  
Yin-Jing Lin ◽  
Yan Zhang

AbstractThis study was designed to provide basic information for the improvement of storm nowcasting. According to the mean direction deviation of storm movement, storms were classified into three types: 1) steady storms (S storms, extrapolated efficiently), 2) unsteady storms (U storms, extrapolated poorly), and 3) transitional storms (T storms). The U storms do not fit the linear extrapolation processes because of their unsteady movements. A 6-yr warm-season radar observation dataset was used to highlight and analyze the differences between U storms and S storms. The analysis included geometric features, dynamic factors, and environmental parameters. The results showed that storms with the following characteristics changed movement direction most easily in the Beijing–Tianjin region: 1) smaller storm area, 2) lower thickness (echo-top height minus base height), 3) lower movement speed, 4) weaker updrafts and the maximum value located in the mid- and upper troposphere, 5) storm-relative vertical wind profiles dominated by directional shear instead of speed shear, 6) lower relative humidity in the mid- and upper troposphere, and 7) higher surface evaporation and ground roughness.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
G. Merlin Linda ◽  
N.V.S. Sree Rathna Lakshmi ◽  
N. Senthil Murugan ◽  
Rajendra Prasad Mahapatra ◽  
V. Muthukumaran ◽  
...  

PurposeThe paper aims to introduce an intelligent recognition system for viewpoint variations of gait and speech. It proposes a convolutional neural network-based capsule network (CNN-CapsNet) model and outlining the performance of the system in recognition of gait and speech variations. The proposed intelligent system mainly focuses on relative spatial hierarchies between gait features in the entities of the image due to translational invariances in sub-sampling and speech variations.Design/methodology/approachThis proposed work CNN-CapsNet is mainly used for automatic learning of feature representations based on CNN and used capsule vectors as neurons to encode all the spatial information of an image by adapting equal variances to change in viewpoint. The proposed study will resolve the discrepancies caused by cofactors and gait recognition between opinions based on a model of CNN-CapsNet.FindingsThis research work provides recognition of signal, biometric-based gait recognition and sound/speech analysis. Empirical evaluations are conducted on three aspects of scenarios, namely fixed-view, cross-view and multi-view conditions. The main parameters for recognition of gait are speed, change in clothes, subjects walking with carrying object and intensity of light.Research limitations/implicationsThe proposed CNN-CapsNet has some limitations when considering for detecting the walking targets from surveillance videos considering multimodal fusion approaches using hardware sensor devices. It can also act as a pre-requisite tool to analyze, identify, detect and verify the malware practices.Practical implicationsThis research work includes for detecting the walking targets from surveillance videos considering multimodal fusion approaches using hardware sensor devices. It can also act as a pre-requisite tool to analyze, identify, detect and verify the malware practices.Originality/valueThis proposed research work proves to be performing better for the recognition of gait and speech when compared with other techniques.


2021 ◽  
pp. 009579842110596
Author(s):  
Rachel L. Holder ◽  
Marcia A. Winter ◽  
Jessica Greenlee ◽  
Akea Robinson ◽  
Katherine W. Dempster ◽  
...  

The purpose of this study was to examine the associations between child health, parent racial regard, and parent physical health in 87 African American and Black parents/caregivers of children with and without asthma from a low-income, under-resourced urban area. Participants completed the Private and Public Regard subscales of the Multidimensional Inventory of Black Identity (MIBI) and 12-item Short Form Health Survey (SF-12). Parents of children with asthma reported having poorer physical health, while those with higher public and private racial regard reported better physical health. The association between public regard and physical health was surpassed by an interaction of child asthma status and public regard: as public regard decreased, so did physical health, but only for parents raising a child with asthma. Findings suggest that the stresses associated with raising a child with chronic illness and perceiving lower public racial regard may together confer additional risk for poor physical health in African American and Black parents.


2021 ◽  
Vol 11 (1) ◽  
pp. 24-29
Author(s):  
Ahmed Latif ◽  
Muhammad Siddique Ansari ◽  
Muhammad Ibrahim Ansari ◽  
Rabia Malik ◽  
Abdul Ahad Sohoo ◽  
...  

Background:  To explore the influences of pharmaceutical companies on prescription practices and to find out types of incentives of pharmaceutical companies on medical doctors in private and public hospitals in Islamabad, the capital city of Pakistan  Methods: A qualitative exploratory study was conducted in 06 months May-Oct: 2017 in Islamabad (Capital City of Pakistan). Data were collected from doctors and pharmaceuticals representatives through snowballing sampling techniques through open ended questionnaire in which In-depth interviews were taken. In depth interviews were recorded, transcribed and coded. Qualitative sub-component was included to triangulate the data, sub themes and themes were generated. Results: Respondent’s prescription is a basically document in which we suggest minimum effective medication therapy to the patient, that is also cost effective and give maximum treatment to the patient.  Few of the respondents are also agreeing on the point that most of the times patient itself influences to prescribe the particular product. Patient itself influences to prescribe the particular product that is redundant in its treatment regimen. Other respondents stated that prescription is varying from patient to patient and our priority is to give the medicine to the patient which shows good efficacy. Conclusion: Most doctors were maintaining protocol of prescription and using brand name of medicine. Pharmacists were visiting them on regular basis conditionally.


1980 ◽  
Vol 10 (3-4) ◽  
pp. 1-4
Author(s):  
Marylee Wiley

The concept of outreach has become associated with public service to community, media and business interests, to public and private educational institutions, and to African and Africanist academics at home and abroad lacking access to resources to pursue their studies and research. This paper is concerned chiefly with the role of colleges and universities in African studies outreach, which is not to minimize the importance of other agents of change, private and public, committed to the task of improving the quality and quantity of our understanding and knowledge of African affairs.


2019 ◽  
Vol 20 (1) ◽  
pp. 127-142
Author(s):  
Taeyeon Oh ◽  
Jihyeon Oh ◽  
Junhee Kim ◽  
Kisung Dennis Kwon

PurposeThe purpose of this paper is to investigate the perception of public and private officers of stakeholder at the PyeongChang Winter Olympic Games 2018. This event was selected as the subject of this research as it is the most recent mega-scale international sporting event and, given that the organizing committee (OC) is currently operating, it afforded a unique opportunity to investigate the staff of the organization. To clarify the research questions, this research identified stakeholders of Olympic Games.Design/methodology/approachThe research questions were examined by a stakeholder analysis that measured and compared perceptions conducted according to the stakeholder theory (Freeman, 2010) and previous research (Naraine et al., 2016).FindingsThis study identifies eight stakeholders of the 2018 Winter Olympic Games: the OC, the International Olympics Committee, National Olympic Committee, central government, local government, media, sponsors and non-government organizations. The authors pointed out that public officers are more sensitive to the opinions and movements of community members than private staff. Conversely, the authors found that the private staffs regard the media and influential stakeholders as more important compared with public officers.Originality/valueBased on the findings from the Olympics committee, this study contributes to the academic literature related to sporting events and their stakeholders by providing the most up-to-date identification of stakeholders.


2014 ◽  
Vol 28 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Joel E. Collier ◽  
Daniel L. Sherrell ◽  
Emin Babakus ◽  
Alisha Blakeney Horky

Purpose – The purpose of this paper is to explore the potential differences between types of self-service technology. Specifically, the paper explores how the dynamics of public and private self-service technology influence customers' decision to use the technology. Design/methodology/approach – Existing customers of private and public self-service technology were surveyed from the same industry. Using structural equation modeling, the authors examine how relevant self-service constructs influence evaluations and attitudes of customers across both settings. Findings – The analysis reveals that customers' control and convenience perceptions differ across public and private self-service technology. Additionally, customers placed a heavier emphasis on the hedonic or utilitarian evaluation of a service experience based on the type of self-service technology. Practical implications – For managers of self-service applications, understanding the unique differences of public and private self-service technology can aid in the implementation and adoption of the technology. By properly understanding the differences of the self-service types, managers can provide a beneficial experience to the customer. Originality/value – By identifying and describing two distinct categories of SSTs, this study allows managers and researchers to better understand how and why individuals choose to utilize individual self-service technologies. Through understanding the unique dynamics of a public and a private SST experience, retailers can determine the appropriate strategy for customer adoption based on the utilitarian or hedonic functions of the technology.


Sign in / Sign up

Export Citation Format

Share Document