Download or read book Evaluation of a Video Image Detection System written by Benjamin H. Cottrell and published by . This book was released on 1994 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: A video image detection system (VIDS) is an advanced wide-area traffic monitoring system that processes input from a video camera. The Autoscope VIDS coupled with an information management system was selected as the monitoring device because testing had shown it to be the most advanced system available with respect to performance, reliability, and accuracy. The purpose of this project was to evaluate the capabilities of the VIDS. The primary objective was to assess the performance of the VIDS for incident detection, and a secondary objective was to examine its capability to monitor traffic. Existing hardware was to be used for the VIDS as much as possible in order to fit the VIDS into the existing TMS Center operations and to minimize additional costs. Based on an evaluation that focused on traffic monitoring, the VIDS performed unsatisfactorily at two sites and satisfactorily at a third site. The location of the video camera relative to the monitoring site, which is critical to effective operations of the VIDS, was the major cause of the unsatisfactory performance. The primary objective was not achieved. The potential for using the Autoscope at existing camera locations in Northern Virginia is limited. Based on the performance of the Autoscope at the Woodrow Wilson Bridge, it was concluded that it is difficult to accurately return an Autoscope camera to its monitoring position after it is moved for surveillance. A dedicated camera is necessary for the VIDS. Recommendations were made for the use of the VIDS and for project planning and contract administration for future projects of this nature.
Download or read book Video Image Detection Systems Installation Performance Criteria written by Daniel T. Gottuk and published by Springer Science & Business Media. This book was released on 2012-06-02 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer processing and image analysis technologies have improved substantially over the course of the past decade. This rapidly advancing technology along with the emphasis on video surveillance since 911 has propelled the development of effective video image detection (VID) systems for ?re. Fire protection system designers initially employed these VID systems for use in large facilities, outdoor locations and tunnels. However, video-based detection is being used for a broadening range of applications [e. g. , 1]. For example, these systems are c- rently installed in electrical power plants, paper mills, document storage facilities, historic municipal buildings, nuclear research facilities, automotive plants, wa- house/distribution centers, and onshore and offshore oil platforms. The 2007 edition of NFPA 72, National Fire Alarm Code [2], recognized the use of VID systems for ?ame and smoke detection. Although recognized, there is limited prescriptive installation and use requirements and there is a general desire by many for the development of performance criteria that ultimately could be utilized for the design of systems or the creation of standards. Since the underlying VID technology and development of standard and network-based camera systems are in a period of fairly rapid advancement [3–5], it is not possible to de?ne a comprehensive set of stand-alone prescriptive requirements. The performance of VID systems depends on both the video hardware and the software algorithms; there is no basic underlying principle, such as there is for ionization or pho- electric detection for smoke detectors. Consequently, performance-based inst- lation and operation requirements are needed.
Download or read book Evaluation and Comparison of Video Image Processing Systems for Traffic Detection written by and published by . This book was released on 1992 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of UDOT s Video Detection Systems written by Peter T. Martin and published by . This book was released on 2004 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evaluation of performance of video systems which capture traffic images.
Download or read book Performance Evaluation Software written by Bahadir Karasulu and published by Springer Science & Business Media. This book was released on 2013-03-25 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
Download or read book Video Text Detection written by Tong Lu and published by Springer. This book was released on 2014-07-23 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.
Download or read book Concept Based Video Retrieval written by Cees G. M. Snoek and published by Now Publishers Inc. This book was released on 2009 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we review 300 references on video retrieval, indicating when text-only solutions are unsatisfactory and showing the promising alternatives which are in majority concept-based. Therefore, central to our discussion is the notion of a semantic concept: an objective linguistic description of an observable entity. Specifically, we present our view on how its automated detection, selection under uncertainty, and interactive usage might solve the major scientific problem for video retrieval: the semantic gap. To bridge the gap, we lay down the anatomy of a concept-based video search engine. We present a component-wise decomposition of such an interdisciplinary multimedia system, covering influences from information retrieval, computer vision, machine learning, and human-computer interaction. For each of the components we review state-of-the-art solutions in the literature, each having different characteristics and merits. Because of these differences, we cannot understand the progress in video retrieval without serious evaluation efforts such as carried out in the NIST TRECVID benchmark. We discuss its data, tasks, results, and the many derived community initiatives in creating annotations and baselines for repeatable experiments. We conclude with our perspective on future challenges and opportunities.
Download or read book An Initial Evaluation of Video based Fire Detection Technologies written by Daniel T. Gottuk and published by . This book was released on 2004 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work represents the initial evaluation of video-based detection technologies for improved situations awareness and damage control assessment onboard Navy ships. The test results indicate that the video-based detection systems using smoke alarm algorithms can provide comparable to better fire detection than point-type smoke detectors.
Download or read book Object Detection by Stereo Vision Images written by R. Arokia Priya and published by John Wiley & Sons. This book was released on 2022-09-14 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: OBJECT DETECTION BY STEREO VISION IMAGES Since both theoretical and practical aspects of the developments in this field of research are explored, including recent state-of-the-art technologies and research opportunities in the area of object detection, this book will act as a good reference for practitioners, students, and researchers. Current state-of-the-art technologies have opened up new opportunities in research in the areas of object detection and recognition of digital images and videos, robotics, neural networks, machine learning, stereo vision matching algorithms, soft computing, customer prediction, social media analysis, recommendation systems, and stereo vision. This book has been designed to provide directions for those interested in researching and developing intelligent applications to detect an object and estimate depth. In addition to focusing on the performance of the system using high-performance computing techniques, a technical overview of certain tools, languages, libraries, frameworks, and APIs for developing applications is also given. More specifically, detection using stereo vision images/video from its developmental stage up till today, its possible applications, and general research problems relating to it are covered. Also presented are techniques and algorithms that satisfy the peculiar needs of stereo vision images along with emerging research opportunities through analysis of modern techniques being applied to intelligent systems. Audience Researchers in information technology looking at robotics, deep learning, machine learning, big data analytics, neural networks, pattern & data mining, and image and object recognition. Industrial sectors include automotive electronics, security and surveillance systems, and online retailers.
Download or read book Bridging the Semantic Gap in Image and Video Analysis written by Halina Kwaśnicka and published by Springer. This book was released on 2018-02-20 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recognition, and the fourth and last involve the semantic interpretation of the image. The semantic gap is a challenging area of research, and describes the difference between low-level features extracted from the image and the high-level semantic meanings that people can derive from the image. The result greatly depends on lower level vision techniques, such as feature selection, segmentation, object recognition, and so on. The use of deep models has freed humans from manually selecting and extracting the set of features. Deep learning does this automatically, developing more abstract features at the successive levels. The book offers a valuable resource for researchers, practitioners, students and professors in Computer Engineering, Computer Science and related fields whose work involves images, video analysis, image interpretation and so on.
Download or read book Feature Detectors and Motion Detection in Video Processing written by Dey, Nilanjan and published by IGI Global. This book was released on 2016-10-25 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video is one of the most important forms of multimedia available, as it is utilized for security purposes, to transmit information, promote safety, and provide entertainment. As motion is the most integral element in videos, it is important that motion detection systems and algorithms meet specific requirements to achieve accurate detection of real time events. Feature Detectors and Motion Detection in Video Processing explores innovative methods and approaches to analyzing and retrieving video images. Featuring empirical research and significant frameworks regarding feature detectors and descriptor algorithms, the book is a critical reference source for professionals, researchers, advanced-level students, technology developers, and academicians.
Download or read book Video Tracking written by Emilio Maggio and published by John Wiley & Sons. This book was released on 2011-07-05 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen through cameras. Starting from the general problem definition and a review of existing and emerging video tracking applications, the book discusses popular methods, such as those based on correlation and gradient-descent. Using practical examples, the reader is introduced to the advantages and limitations of deterministic approaches, and is then guided toward more advanced video tracking solutions, such as those based on the Bayes’ recursive framework and on Random Finite Sets. Key features: Discusses the design choices and implementation issues required to turn the underlying mathematical models into a real-world effective tracking systems. Provides block diagrams and simil-code implementation of the algorithms. Reviews methods to evaluate the performance of video trackers – this is identified as a major problem by end-users. The book aims to help researchers and practitioners develop techniques and solutions based on the potential of video tracking applications. The design methodologies discussed throughout the book provide guidelines for developers in the industry working on vision-based applications. The book may also serve as a reference for engineering and computer science graduate students involved in vision, robotics, human-computer interaction, smart environments and virtual reality programmes
Download or read book Design and Field Evaluation of a System for Integrating Closed Circuit Television Cameras CCTV with Video Image Vehicle Detection Systems VIVDS written by Hema Tanikella and published by . This book was released on 2004 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Video Surveillance Techniques and Technologies written by Zeljkovic, Vesna and published by IGI Global. This book was released on 2013-12-31 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems, emphasizing a wide variety of applications of security systems"--Provided by publisher.
Download or read book The Standard Behavioral Evaluation of Low quality Videos Based on Collaborative of Image Processing and Deep Learning written by Yu-Tien Inn and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In countries with well-developed service industries, such as Taiwan, Japan, South Korea, the mainland, Europe, and the United States, in the process of employee and customer service and sales, most of them will use the mystery customer service audit method to conduct standard behavior evaluation, and go to the field It is confirmed that the employees of the enterprise standardize the enterprise service, whether the enterprise culture is implemented, as well as the customer's satisfaction with consumption, and even further, Mysterio can give suggestions on enterprise management or innovation transformation from the customer's point of view during the inspection process. The Mystery Customer service audit survey is conducted by auditors who secretly videotape service personnel, and then use auditors to judge and score the actions of service personnel. For example, the auditors secretly videotape the waiters in department stores or restaurants to see if they "stand incorrectly (37 steps)"; When it comes to guests, there is no "giving with both hands", etc. However, this often depends on the subjective awareness of the auditors. Although there are standard answers by definition, their comments are adjectives, such as enthusiasm, positive, etc., which will make the evaluation even more inefficient. , more subjective. Another big pain point is that it takes a lot of time to watch videos and find out what is wrong with the service. With the advancement and development of science and technology and the leap forward of artificial intelligence and deep learning network, this paper intends to complete a set of AI standard action evaluation system through the technology of image processing, target detection, and image twinning network, so as to improve the quality of the service audit system. Speed and quality. This thesis system uses the self-trained object detection YOLO model to capture the position and characteristics of the target to be recognized from the low-quality video and classify the action of the target by means of image recognition; and then use the technology of target extraction , to further extract features from the captured target to achieve the purpose of clearing the noise; finally, use the 3DCNN twin network to compare the similarity between the correct action video and the video to be detected, so as to achieve the purpose of detailed action comparison. In addition, this paper uses a newly designed automatic video filtering and classification algorithm, which can filter out the target segments in the complete video and classify them into the corresponding training set, saving a lot of time for data pre-processing.
Download or read book Methods and Metrics for Efficient Video Object Detection written by Huizi Mao and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding video contents by object detection is an essential task for machine intelligence. Video is an abundant data source, yet detecting objects from videos is computationally intensive or even prohibitive on edge devices. We start with efficient video object detection methods, which require fewer average FLOPs per video frame. We also find out that current widely adopted metrics do not fully describe a video object detector; therefore, we propose new metrics that measure the swiftness of an algorithm. By combining the proposed methods and evaluating them with the new metrics, we design a video object detection system that achieves high average accuracy, low response time, and a balanced workload under a limited computation budget. Two efficient methods for video object detection described in this thesis are CaTDet, which reduces the spatial area of detection, and PatchNet, which reduces the detection frequency with little accuracy drop. Experiments on multiple datasets show that CaTDet and PatchNet can reduce computation by 3.8x-13.0x and 3.4-4.9x, respectively. Combining CaTDet and PatchNet, we design SwiftDet, which performs joint spatial-temporal reduction and reduces FLOPs by 6.0x on ImageNet for Faster R-CNN ResNet-101. Evaluation with average delay and average latency further demonstrates that SwiftDet achieves a lower response time than CaTDet or PatchNet alone.
Download or read book Initial Evaluation of the Existing Technologies for Vehicle Detection written by Dan R. Middleton and published by . This book was released on 1997 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:
