|Total results: 225||
|Research Developments in Biometrics and Video Processing Techniques
Rajeev Srivastava, S.K. Singh, K.K. Shukla.
The advancement of security technologies has allowed information systems to store more crucial and sensitive data. With these advancements, organizations turn to physiological and behavioral methods of identification in order to guard against unwanted intrusion.
Research Developments in Biometrics...
Thermal Human Face Recognition for Biometric Security System
Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Dipak Kumar Basu.
Automatic face recognition has been comprehensively studied for more than four decades, since face recognition of individuals has many applications, particularly in human-machine interaction and security. Although face recognition systems have achieved a significant level of maturity with some...
Multimodal Biometrics Recognition for Newborns
Shrikant Tiwari, Sanjay Kumar Singh.
Identification of newborns at birth is a critical issue for hospitals, birthing centers, and other institutions where multiple births occur. With approximately 300,000 infants born worldwide each day, a large hospital may experience over one hundred new births every day. Correct identification of...
Biometric Authentication Based on Hand Vein Pattern
Munaga V. N. K. Prasad, Ilaiah Kavati.
Recently, a new biometric technology based on human hand vein patterns has attracted the attention of many researchers. This chapter discusses vein pattern authentication, which uses the vascular patterns of the back of the hand as personal authentication data. Vein information is hard to duplicate...
Securing Biometrics Using Watermarking
Punam Bedi, Roli Bansal, Priti Sehgal.
This chapter focuses on the role of watermarking techniques in biometric systems. Biometric systems are automated systems of verifying or recognizing the identity of a living person based on a physiological or behavioral characteristic. While biometric-based techniques have inherent advantages over...
Stereo Vision-Based Object Matching, Detection, and Tracking: A Review
Mohamed Saifuddin, Lee Seng Yeong, Seng Kah Phooi, Ang Li-Minn.
Computer vision has become very important in recent years. It is no longer restricted to a single camera that is only capable of capturing a single image at any given time. In its place, stereo vision systems have been introduced that not only make use of dual cameras to capture multiple images at...
Feature-Based Affine Motion Estimation for Superresolution of a Region of Interest
Sung Hyun Kim, Rae-Hong Park, Seungjoon Yang, Hwa-Young Kim.
This chapter presents an interpolation method of low-computation for a Region Of Interest (ROI) using multiple low-resolution images of the same scene. Interpolation methods using multiple images require the accurate motion information between the reference image of interpolation and the other images....
Daubechies Complex Wavelet-Based Computer Vision Applications
Manish Khare, Rajneesh Kumar Srivastava, Ashish Khare.
Many methods for computer vision applications have been developed using wavelet theory. Almost all of them are based on real-valued discrete wavelet transform. This chapter introduces two computer vision applications, namely moving object segmentation and moving shadow detection and removal, using...
Application of Computer Vision Techniques for Exploiting New Video Coding Mechanisms
Artur Miguel Arsenio.
One of the main concerns for current multimedia platforms is the provisioning of content that provides a good Quality of Experience to end-users. This can be achieved through new interactive, personalized content applications, as well by improving the image quality delivered to the end-user. This...
Recognition of Humans and Their Activities for Video Surveillance
Alok Kumar Singh Kushwaha, Rajeev Srivastava.
Human Activity Recognition is an active area of research in computer vision with wide-scale applications in video surveillance, motion analysis, virtual reality interfaces, robot navigation and recognition, video indexing, browsing, HCI, choreography, sports video analysis, etc. The analysis of...
Video Authentication: An Intelligent Approach
Saurabh Upadhyay, Shrikant Tiwari, Shalabh Parashar.
With the growing innovations and emerging developments in sophisticated video editing technology, it is becoming highly desirable to assure the credibility and integrity of video information. Today digital videos are also increasingly transmitted over non-secure channels such as the Internet....
Face Recognition in Adverse Conditions
Maria De Marsico, Michele Nappi, Massimo Tistarelli.
Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly...
International Journal of Monitoring and Surveillance Technologies Research (IJMSTR)
Ming Yang, Nikolaos Bourbakis, Konstantina S. Nikita.
The International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) publishes cutting-edge research on monitoring and surveillance technologies. The journal combines multiple disciplines—including engineering, medicine, biology, and computer science—to solve complex problems. As...
Multimodal Biometrics and Intelligent Image Processing for Security Systems
Marina L. Gavrilova, Maruf Monwar.
Although it is a relatively new approach to biometric knowledge representation, multimodal biometric systems have emerged as an innovative alternative that aids in developing a more reliable and efficient security system.Multimodal Biometrics and Intelligent Image Processing for Security Systems...
Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security
Hans W. Guesgen, Stephen Marsland.
Recently, the ICT field has seen a shift from machine-centered focuses to human and user knowledge-based approaches. However, as priorities shift, questions arise on how to detect and monitor users’ behavior.Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security...
A Logic-Based Approach to Activity Recognition
Alexander Artikis, Marek Sergot, Georgios Paliouras.
The authors have been developing a system for recognising human activities given a symbolic representation of video content. The input of the system is a stream of time-stamped short-term activities detected on video frames. The output of the system is a set of recognised long-term activities, which...
Towards Ontology-Based Realtime Behaviour Interpretation
Wilfried Bohlken, Patrick Koopmann, Lothar Hotz, Bernd Neumann.
The authors describe a generic framework for model-based behaviour interpretation and its application to monitoring aircraft service activities. Behaviour models are represented in a standardised conceptual knowledge base using OWL-DL for concept definitions and the extension SWRL for constraints. The...
Novelty Detection in Human Behavior through Analysis of Energy Utilization
Chao Chen, Diane J. Cook.
The value of smart environments in understanding and monitoring human behavior has become increasingly obvious in the past few years. Using data collected from sensors in these environments, scientists have been able to recognize activities that residents perform and use the information to provide...
Tracking Systems for Multiple Smart Home Residents
Aaron S. Crandall, Diane J. Cook.
Once a smart home system moves to a multi-resident situation, it becomes significantly more important that individuals are tracked in some manner. By tracking individuals, the events received from the sensor platform can then be separated into different streams and acted on independently by other tools...
Sensors for Smart Homes
Anuroop Gaddam, G. Sen Gupta, S. C. Mukhopadhyay.
Sensors are increasingly being employed to determine different activities of a person living at home. Numerous sensors can be used to obtain a variety of information. While many sensors may be used to make a system, it is important to look into the availability, cost, installation, mechanism, and...
Intention-Based Decision Making via Intention Recognition and its Applications
The Anh Han, Luis Moniz Pereira.
In this chapter, the authors present an intention-based decision-making system. They exhibit a coherent combination of two Logic Programming-based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for...
Clustering Algorithm for Human Behavior Recognition Based on Biosignal Analysis
Neuza Nunes, Diliana Rebelo, Rodolfo Abreu, Hugo Gamboa, Ana Fred.
Time series unsupervised clustering is accurate in various domains, and there is an increased interest in time series clustering algorithms for human behavior recognition. The authors have developed an algorithm for biosignals clustering, which captures the general morphology of a signal’s cycles in...