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Object Tracking: A Survey

by Alper Yilmaz, Omar Javed, Mubarak Shah , 2006
"... The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns o ..."
Abstract - Cited by 701 (7 self) - Add to MetaCart
discuss the important issues related to tracking including the use of appropriate image features, selection of motion models, and detection of objects.

USING IMPROVED OBJECT DETECTION IN ROBOCUP SOCCER FOR COLLISION AVOIDANCE AND RECOVERY

by unknown authors
"... RoboCup legged soccer is an international soccer competition between autonomous, four-legged robots. In past competitions, collisions between robots were common. My objective, therefore, was to augment the robots ’ sensor systems to allow them to avoid and recover from such collisions; this would bo ..."
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RoboCup legged soccer is an international soccer competition between autonomous, four-legged robots. In past competitions, collisions between robots were common. My objective, therefore, was to augment the robots ’ sensor systems to allow them to avoid and recover from such collisions; this would

Pictorial Structures for Object Recognition

by Pedro F. Felzenszwalb, Daniel P. Huttenlocher - IJCV , 2003
"... In this paper we present a statistical framework for modeling the appearance of objects. Our work is motivated by the pictorial structure models introduced by Fischler and Elschlager. The basic idea is to model an object by a collection of parts arranged in a deformable configuration. The appearance ..."
Abstract - Cited by 816 (15 self) - Add to MetaCart
of detecting an object in an image as well as the problem of learning an object model from training examples, and present efficient algorithms for both these problems. We demonstrate the techniques by learning models that represent faces and human bodies and using the resulting models to locate

Edge Detection

by Ellen C. Hildreth , 1985
"... For both biological systems and machines, vision begins with a large and unwieldy array of measurements of the amount of light reflected from surfaces in the environment. The goal of vision is to recover physical properties of objects in the scene, such as the location of object boundaries and the s ..."
Abstract - Cited by 1287 (1 self) - Add to MetaCart
For both biological systems and machines, vision begins with a large and unwieldy array of measurements of the amount of light reflected from surfaces in the environment. The goal of vision is to recover physical properties of objects in the scene, such as the location of object boundaries

Probabilistic Visual Learning for Object Representation

by Baback Moghaddam, Alex Pentland , 1996
"... We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of ..."
Abstract - Cited by 699 (15 self) - Add to MetaCart
-of-Gaussians model (for multimodal distributions). These probability densities are then used to formulate a maximum-likelihood estimation framework for visual search and target detection for automatic object recognition and coding. Our learning technique is applied to the probabilistic visual modeling, detection

A Metrics Suite for Object Oriented Design

by Shyam R. Chidamber , Chris F. Kemerer , 1994
"... Given the central role that software development plays in the delivery and application of information technology, managers are increasingly focusing on process improvement in the software development area. This demand has spurred the provision of a number of new and/or improved approaches to softwa ..."
Abstract - Cited by 1108 (3 self) - Add to MetaCart
to software development, with perhaps the most prominent being object-orientation (00). In addition, the focus on process im-provement has increased the demand for software measures, or metrics with which to manage the process. The need for such metrics is particularly acute when an organization is adopting a

Attention and the detection of signals

by Michael I. Posner, Charles R. R. Snyder, Brian J. Davidson - Journal of Experimental Psychology: General , 1980
"... Detection of a visual signal requires information to reach a system capable of eliciting arbitrary responses required by the experimenter. Detection latencies are reduced when subjects receive a cue that indicates where in the visual field the signal will occur. This shift in efficiency appears to b ..."
Abstract - Cited by 565 (2 self) - Add to MetaCart
Detection of a visual signal requires information to reach a system capable of eliciting arbitrary responses required by the experimenter. Detection latencies are reduced when subjects receive a cue that indicates where in the visual field the signal will occur. This shift in efficiency appears

An intrusion-detection model

by Dorothy E. Denning - IEEE TRANSACTIONS ON SOFTWARE ENGINEERING , 1987
"... A model of a real-time intrusion-detection expert system capable of detecting break-ins, penetrations, and other forms of computer abuse is described. The model is based on the hypothesis that security violations can be detected by monitoring a system's audit records for abnormal patterns of sy ..."
Abstract - Cited by 639 (0 self) - Add to MetaCart
of system usage. The model includes profiles for representing the behavior of subjects with respect to objects in terms of metrics and statistical models, and rules for acquiring knowledge about this behavior from audit records and for detecting anomalous behavior. The model is independent of any particular

Object Recognition from Local Scale-Invariant Features

by David G. Lowe
"... An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in ..."
Abstract - Cited by 2739 (13 self) - Add to MetaCart
in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric deformations by representing blurred image gradients

Refactoring: Improving the Design of Existing Code

by Martin Fowler, Kent Beck, John Brant, William Opdyke, Don Roberts , 1999
"... As the application of object technology--particularly the Java programming language--has become commonplace, a new problem has emerged to confront the software development community. Significant numbers of poorly designed programs have been created by less-experienced developers, resulting in applic ..."
Abstract - Cited by 1898 (2 self) - Add to MetaCart
. In Refactoring: Improving the Design of Existing Software, renowned object technology mentor Martin Fowler breaks new ground, demystifying these master practices and demonstrating how software practitioners can realize the significant benefits of this new process
Results 11 - 20 of 126,731