|
Pedestrian Detection
Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for semantic understanding of the video footages. It has an obvious extension to automotive applications due to the potential for improving safety systems. Many car manufacturers (e.g. Volvo, Ford, GM, Nissan) offer this as an ADAS option in 2017. Challenges * Various style of clothing in appearance * Different possible articulations * The presence of occluding accessories * Frequent occlusion between pedestrians Existing approaches Despite the challenges, pedestrian detection still remains an active research area in computer vision in recent years. Numerous approaches have been proposed. Holistic detection Detectors are trained to search for pedestrians in the video frame by scanning the whole frame. The detector would “fire” if the image features inside the local search window meet certain criteria. Some methods employ glo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Background Subtraction
Background may refer to: Performing arts and stagecraft * Background actor * Background artist * Background light * Background music * Background story * Background vocals * ''Background'' (play), a 1950 play by Warren Chetham-Strode Recorded works * ''Background'' (1953 film), a British drama * ''Background'' (1973 film), a documentary * ''Background'' (TV series), a Canadian journalistic television series * ''Background'' (Lifetime album), 1992 * ''Background'' (Bassi Maestro album), 2002 Science and engineering * Background extinction rate * Background independence, a condition in theoretical physics * Background noise * Background radiation, the natural radiation that is always present in a location ** Background (astronomy), small amounts of light coming from otherwise dark parts of the sky ** Cosmic background (other) ** Gravitational wave background ** X-ray background * Background process, software that is running but not being displayed * String ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Applications Of Computer Vision
Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. Image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanner, 3D point clouds from LiDaR sensors, or medical scanning devices. The tec ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Surveillance
Surveillance is the monitoring of behavior, many activities, or information for the purpose of information gathering, influencing, managing, or directing. This can include observation from a distance by means of electronic equipment, such as closed-circuit television (CCTV), or interception of electronically transmitted information like Internet traffic. Increasingly, Government, governments may also obtain Customer data, consumer data through the purchase of online information, effectively expanding surveillance capabilities through commercially available digital records. It can also include simple technical methods, such as Human intelligence (intelligence gathering), human intelligence gathering and postal interception. Surveillance is used by citizens, for instance for protecting their neighborhoods. It is widely used by governments for intelligence gathering, including espionage, prevention of crime, the protection of a process, person, group or object, or the investigat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Human Sensing
Human sensing (also called human detection or human presence detection) encompasses a range of technologies for detecting the presence of a human body in an area of space, typically without the intentional participation of the detected person. Common applications include search and rescue, surveillance, and customer analytics (for example, people counters). Modern technologies proposed or deployed for human sensing include: * Audio signal processing, Acoustic sensors * Computer vision#Bababoui, Image recognition of human shapes * Thermographic camera, Infrared detectors * Sensing floor, Pressure-sensitive floor tiles * Radar * Sensor#Chemical sensor, Chemical sensors * Detection of the mobile phone, computer, Bluetooth, or Wi-Fi signals of a device assumed to be in the possession of a person. *WiFi Sensing Examples In 1997 CAPTCHA ("Completely Automated Public Turing test to tell Computers and Humans Apart") was invented. A test is presented to detect that a computer is being use ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Human Presence Detection
Human presence detection is a range of technologies and methods for detecting the presence of a human body in an area of interest (AOI), or verification that computer, smartphone (or other device controlled by software) is operated by human. Software and hardware technologies are used for human presence detection. Unlike human sensing, that is dealing with human body only, human presence detection technologies are used to verify for safety, security or other reasons that human person, but not any other object is identified. Methods can be used for internet security authentication. These include software technologies such CAPTCHA and reCAPTCHA, as well as hardware technologies such as: * Radar technology * Computer vision#Bababoui, Image recognition of human shapes * Security switch * Fingerprint sensors * Thermographic camera, Infrared detectors * Audio signal processing, Acoustic sensors * Vibration sensors Examples * reCAPTCHA is a CAPTCHA-like system designed to establish t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Integral Channel Feature
Integral Channel Features (ICF), also known as ChnFtrs, is a method for object detection in computer vision. It uses integral images to extract features such as local sums, histograms and Haar-like features from multiple registered image channels. This method was highly exploited by Dollár ''et al''. in their work for pedestrian detection, that was first described at the BMVC in 2009.P. Dollár, Z. Tu, P. Perona and S. Belongie "Integral Channel Features", BMVC 2009 Overview of the method # Compute multiple registered image channels from an input image, using linear and non-linear transformations # Extract features such as sums over rectangular channel regions from each channel. The features extracted from various channels are called integral channel features. # Train the AdaBoost classifier. Dollár ''et al.'' used boosting technique which offers faster learning but training could be done with any of the other available methods such as support vector machine. # Finally, trained cla ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Histogram Of Oriented Gradients
The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method is similar to that of edge orientation histograms, scale-invariant feature transform descriptors, and shape contexts, but differs in that it is computed on a dense grid of uniformly spaced cells and uses overlapping local contrast normalization for improved accuracy. Robert K. McConnell of Wayland Research Inc. first described the concepts behind HOG without using the term HOG in a patent application in 1986. In 1994 the concepts were used by Mitsubishi Electric Research Laboratories. However, usage only became widespread in 2005 when Navneet Dalal and Bill Triggs, researchers for the French National Institute for Research in Computer Science and Automation (INRIA), presented their supplementary work on HOG descriptors at the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Liège
The University of Liège (), or ULiège, is a major public university of the French Community of Belgium founded in 1817 and based in Liège, Wallonia, Belgium. Its official language is French (language), French. History The university was founded in 1817 by William I of the Netherlands, then King of the United Kingdom of the Netherlands, and by his Minister of Education, Anton Reinhard Falck. The foundation of the university was the result of a long intellectual tradition which dates back to the origins of the Prince-Bishopric of Liège. Beginning in the eleventh century, the influence of the principality attracted students and prominent scientists and philosophers, such as Petrarch, to study in its libraries. The reputation of its medieval schools gave the city the reputation as Athens#Cities nicknamed "Athens", a new Athens. A 17 March 1808 decree by Napoleon I of France, Napoleon I concerning the organization of an imperial university indicated Liège as the site of a new ac ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Image Segmentation
In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects (Set (mathematics), sets of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.Linda Shapiro, Linda G. Shapiro and George C. Stockman (2001): "Computer Vision", pp 279–325, New Jersey, Prentice-Hall, Image segmentation is typically used to locate objects and Boundary tracing, boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of Contour line, contours extracted from the image (see edge detection). Each of the pixels in a region ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Conference On Computer Vision And Pattern Recognition
The Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition. Affiliations The conference was first held in 1983 in Washington, DC, organized by Takeo Kanade and Dana H. Ballard. From 1985 to 2010 it was sponsored by the IEEE Computer Society. In 2011 it was also co-sponsored by University of Colorado Colorado Springs. Since 2012 it has been co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, which provides open access to the conference papers. Scope The conference considers a wide range of topics related to computer vision and pattern recognition—basically any topic that is extracting structures or answers from images or video or applying mathematical methods to data to extract or recognize patterns. Common topics include object recognition, image segmentation, motion estimation, 3D reconstruction, and deep learning. The conference generally has less than 30% acceptance rates for all pa ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
