scholarly journals Trends in AI Research for the Visual Surveillance of Populations

2022 ◽  
Author(s):  
Ashwin Acharya ◽  
Max Langenkamp ◽  
James Dunham
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Bibliometric Analysis ◽  
Vision Research ◽  
Visual Surveillance ◽  
Surveillance Systems ◽  
Recent Trends ◽  
Over Time ◽  
The Way

Progress in artificial intelligence has led to growing concern about the capabilities of AI-powered surveillance systems. This data brief uses bibliometric analysis to chart recent trends in visual surveillance research — what share of overall computer vision research it comprises, which countries are leading the way, and how things have varied over time.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

scholarly journals DAMAGE RESULTING FROM ARTIFICIAL INTELLIGENCE - THE CASE OF AUTONOMOUS VEHICLES

2021 ◽  
Vol 14 (1) ◽  
pp. 105-124
Author(s):  
Cassiano Highton
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Technological Revolution ◽  
The Subject ◽  
The Law ◽  
Over Time ◽  
The Way

Abstract The way of understanding the law has changed substantially over time and the law of Torts as we have studied and dealt with it until now has evidently become outdated, the legal reality has moved away from the factual reality, we are facing the new paradigms of the digital and technological revolution, with an evident and clear distancing from the classical theories of the law of Torts, a context that requires a specific and updated approach to the subject.

Gait Recognition and Analysis

2010 ◽  
pp. 151-168
Author(s):  
Shiqi Yu ◽  
Liang Wang
Keyword(s):  
Computer Vision ◽  
Feature Extraction ◽  
Gait Recognition ◽  
Human Identification ◽  
Visual Surveillance ◽  
Evaluation Metrics ◽  
Surveillance Systems ◽  
Research Challenges ◽  
Recent Advances ◽  
Biometric Feature

With the increasing demands of visual surveillance systems, human identification at a distance is an urgent need. Gait is an attractive biometric feature for human identification at a distance, and recently has gained much interest from computer vision researchers. This chapter provides a survey of recent advances in gait recognition. First, an overview on gait recognition framework, feature extraction, and classifiers is given, and then some gait databases and evaluation metrics are introduced. Finally, research challenges and applications are discussed in detail.

Past, Present, and Future of Artificial Intelligence in Library Services

2022 ◽  
pp. 91-114
Author(s):  
Ambar Yoganingrum ◽  
Rulina Rachmawati ◽  
Koharudin Koharudin
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Science Fiction ◽  
Bibliometric Analysis ◽  
Library Services ◽  
Daily Lives ◽  
Intelligent Machines ◽  
The Past ◽  
The Future ◽  
Over Time

In the past, human imagination about intelligent machines was only found in the science fiction of storybooks and films. Today, artificial intelligence (AI) can be found in people's daily lives. Various professions should prepare to face the automation era in the future. Libraries may be one of the slowest institutions to develop AI. Gradually, the institution adopts it for their services. Many papers focus on AI development in libraries, but the opportunities and challenges for librarians to face the era of automation are essential to discuss. This chapter provides insights into the professions that librarians can offer. First, this chapter provides information on the history and development of AI in library services. Then, based on bibliometric analysis, this chapter discusses AI trends in library services. Next, this chapter conducts a systematic review and presents the types of AI developed over time for library services. Finally, this chapter discusses the types of jobs, expertise, and skills that librarians can develop in the robotics era in the future.

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 2323-2337
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

Economics of the Ed Tech Revolution

2017 ◽  
Vol 59 (4) ◽  
pp. 49-55 ◽  
Author(s):  
Richard K. Lyons
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Network Effects ◽  
Education Technology ◽  
Increasing Returns ◽  
Durable Good ◽  
Rapid Changes ◽  
Over Time ◽  
The Way

Rapid changes in technology—including advances in augmented and artificial intelligence, machine learning, and mobile—are paving the way for significant changes not only in the channels through which education is delivered but in how education itself is structured. This article identifies eight ways in which education technology can change how learning is facilitated and who will facilitate that learning. Basic economic principles then provide a framework for thinking about how these changes will be embedded over time as education increasingly becomes a durable good providing increasing returns through network effects.

Judge v Robot? Artificial Intelligence and Judicial Decision-Making

2018 ◽  
Vol 41 (4) ◽  
Author(s):  
Tania Sourdin
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Technological Change ◽  
Human Activity ◽  
Human Activities ◽  
Judicial Decision ◽  
Judicial Decision Making ◽  
And Function ◽  
Over Time ◽  
The Way

As technology continues to change the way in which we work and function, there are predictions that many aspects of human activity will be replaced or supported by newer technologies. Whilst many human activities have changed over time as a result of human advances, more recent shifts in the context of technological change are likely to have a broader impact on some human functions that have previously been largely undisturbed. In this regard, technology is already changing the practice of law and may for example, reshape the process of judging by either replacing, supporting or supplementing the judicial role. Such changes may limit the extent to which humans are engaged in judging with an increasing emphasis on artificial intelligence to deal with smaller civil disputes and the more routine use of related technologies in more complex disputes.

scholarly journals Artificial Intelligence and Deep Learning for Weapon Identification in Security Systems

2021 ◽  
Vol 2089 (1) ◽  
pp. 012079
Author(s):  
Makkena Brahmaiah ◽  
Srinivasa Rao Madala ◽  
Ch Mastan Chowdary
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Deep Learning ◽  
Video Surveillance ◽  
Real World ◽  
Crime Rates ◽  
Surveillance Systems ◽  
Security Systems ◽  
Trade Off ◽  
Wide Range

Abstract As crime rates rise at large events and possibly lonely places, security is always a top concern in every field. A wide range of issues may be solved with the use of computer vision, including anomalous detection and monitoring. Intelligence monitoring is becoming more dependent on video surveillance systems that can recognise and analyse scene and anomaly occurrences. Using SSD and Faster RCNN techniques, this paper provides automated gun (or weapon) identification. Use of two different kinds of datasets is included in the proposed approach. As opposed to the first dataset, the second one comprises pictures that have been manually tagged. However, the trade-off between speed and precision in real-world situations determines whether or not each method will be useful.

scholarly journals Exploring the Nuances of Designing (with/for) Artificial Intelligence

Design Issues ◽  
2020 ◽  
Vol 36 (4) ◽  
pp. 45-55
Author(s):  
Niya Stoimenova ◽  
Rebecca Price
Keyword(s):  
Artificial Intelligence ◽  
Fundamental Shift ◽  
Shed Light ◽  
Over Time ◽  
The Way

A fundamental shift in the way society operates is approaching driven by advances in the field of artificial intelligence (AI). Yet, there is a comparative lack of discourse across the design discipline regarding this topic. While there are fragments of methodological readiness for designing (with/for) AI, the nuances of such need to be further explored. The aim of this article is to shed light on these and suggest a possible way forward for design that can ensure AI-powered artifacts remain safe even as their utility evolves over time.

scholarly journals A Mechanism of Masking Identification Information regarding Moving Objects Recorded on Visual Surveillance Systems by Differentially Implementing Access Permission

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 735 ◽  
Author(s):  
Park ◽  
Kim ◽  
Kim
Keyword(s):  
Artificial Intelligence ◽  
Visual Information ◽  
Data Privacy ◽  
Moving Objects ◽  
Visual Surveillance ◽  
Surveillance Systems ◽  
Visual Data ◽  
Public Places ◽  
Control Center ◽  
The One

Video surveillance systems (VSS), used as a measure of security strengthening as well as investigation, are provided principally in heavily crowded public places. They record images of moving objects and transmit them to the control center. Typically, the recorded images are stored after being encrypted, or masked using visual obfuscations on a concerned image(s) in the identification-enabling data contained in the visual information. The stored footage is recovered to its original state by authorized users. However, the recovery entails the restoration of all information in the visual data, possibly infiltrating the privacy of the object(s) other than the one(s) whose images are requested. In particular, Artificial Intelligence Healthcare that checks the health status of an object through images has the same problem and must protect the patient's identification information. This study proposes a masking mechanism wherein the infiltration of visual data privacy on videos is minimized by limiting the objects whose images are recovered with differential use of access permission granted to the requesting users.

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