A concealed weapons detection technology was developed through the support of the National Institute of Justice (NIJ) to provide a non intrusive means for rapid detection, location, and archiving of data (including vi...
详细信息
ISBN:
(纸本)0819444588
A concealed weapons detection technology was developed through the support of the National Institute of Justice (NIJ) to provide a non intrusive means for rapid detection, location, and archiving of data (including visual) of potential suspects and weapon threats. This technology, developed by the Idaho National Engineering and Environmental Laboratory (INEEL), has been applied in a portal style weapons detection system using passive magnetic sensors as its basis. This paper will report on enhancements to the weapon detection system to enable weapon classification and to discriminate threats from non-threats. Advanced signal processing algorithms were used to analyze the magnetic spectrum generated when a person passes through a portal. These algorithms analyzed multiple variables including variance in the magnetic signature from random weapon placement and/or orientation. They perform pattern recognition and calculate the probability that the collected magnetic signature correlates to a known database of weapon versus non-weapon responses. Neural networks were used to further discriminate weapon type and identify controlled electronic items such as cell phones and pagers. Analyzing the magnetic detector response by using a Joint Time Frequency Analysis digital signal processing technique further reduced false alarms. The frequency components and power spectrum for a given sensor response were derived. This unique fingerprint provided additional information to aid in signal analysis. This technology has the potential to produce major improvements in weapon detection and classification as a potential threat.
We propose a method for extracting object symmetries from a digital image. To achieve this we examine the way in which the human visual system processes and organises visual information. Psychological evidence is comb...
详细信息
We propose a method for extracting object symmetries from a digital image. To achieve this we examine the way in which the human visual system processes and organises visual information. Psychological evidence is combined with physiological processing. The evidence is based on image structure and the processing is based on the Hierarchical Cluster Model (HCM) which is used to model the human brain.
In Content-Based image Retrieval systems, region-based queries allow more precise search than global ones. The user can retrieve similar regions of interest regardless their background in images. The definition of reg...
详细信息
ISBN:
(纸本)076951695X
In Content-Based image Retrieval systems, region-based queries allow more precise search than global ones. The user can retrieve similar regions of interest regardless their background in images. The definition of regions in thousands of generic images is a difficult key point, since it should not need user interaction for each image, and nevertheless be as close as possible to regions of interest (to the user). In this paper we first present a technique of unsupervised coarse detection of regions which improves their visual specificity. The segmentation scheme is based on the classification of Local Distributions of Quantized Colors (LDQC). The Competitive Agglomeration (CA) classification algorithm, which has the advantage to automatically determine the optimal number of classes, is used. The second key point is the region description which must be finer for regions than for images. We present a region descriptor of fine color variability: the Adaptive Distribution of Color Shades (ADCS). This color description is finer and more accurate than existing region color descriptors.
Future human-machine interaction interfaces will need a perfect understanding of the person's behavior so that machines can learn from it, react accordingly, synthetically reproduce this behavior afterwards, etc. ...
详细信息
ISBN:
(纸本)9781581136203
Future human-machine interaction interfaces will need a perfect understanding of the person's behavior so that machines can learn from it, react accordingly, synthetically reproduce this behavior afterwards, etc. The study of user's head action and face expression is fundamental to achieve this comprehension. This technical demo shows the latest imageprocessing techniques for face tracking and expression analysis developed at Eurecom. Our research on face analysis aims at synthetically reproducing head movements in telecom applications. Users will be able to test themselves on how our system can track and analyze their face expressions with just one webcamera only under any unconstrained environment.
Projective framework provides useful cues of 3-D structure even without metric information or calibration processes. However, it shows a tendency to suffer from the image noises. In this paper, an application of the p...
详细信息
ISBN:
(纸本)9608052696
Projective framework provides useful cues of 3-D structure even without metric information or calibration processes. However, it shows a tendency to suffer from the image noises. In this paper, an application of the projective framework to image syntheses of a 3-D object is introduced with a proposition about a noise resistive estimation of the projective displacement. The synthesized images are used to generate image trajectories to handle the limitations of the image-based visual servoing. Results of the simulation demonstrate its effectiveness.
The business presentation market has traditionally been the mainstay of the projection business, but as these users find the projectors work well showing movies at home, interest in the home entertainment market is he...
详细信息
ISBN:
(纸本)0819443972
The business presentation market has traditionally been the mainstay of the projection business, but as these users find the projectors work well showing movies at home, interest in the home entertainment market is heating up. The idea of creating a theater environment in the home, complete with a big-screen projector and quality audio system, is not new. Wealthy patrons have been doing it for years. But can the concept be extended to ordinary living rooms? Many think so. Already, pioneers like Sony, InFocus, Toshiba and Plus Vision are offering first generation products - and others will follow. But this market will require projectors that have different performance characteristics than those designed for data projection. In this paper, we will discuss how the requirements for a home theater projector differ from those of a data projector. We will provided updated information on who is doing what in this segment and give some insight into the growth potential.
In assessment of image quality, as well as in image coding, end users are human beings. They need some type of image for work or entertainment. So it is logical to pursuit the goal of achieving better image quality by...
详细信息
In assessment of image quality, as well as in image coding, end users are human beings. They need some type of image for work or entertainment. So it is logical to pursuit the goal of achieving better image quality by investigating what is better to human eyes. This paper is a contribution in that direction. Just-noticeable distortion and some aspects of it are discussed and experimental results on the visibility threshold of low gray tones are presented.
Multispectral IR imaging techniques are frequently deployed in maritime operations, for instance to detect floating mines or to find small dinghies and swimmers during search and rescue operations. However, maritime b...
详细信息
ISBN:
(纸本)0819444685
Multispectral IR imaging techniques are frequently deployed in maritime operations, for instance to detect floating mines or to find small dinghies and swimmers during search and rescue operations. However, maritime backgrounds usually contain a large amount of clutter that severely hampers the detection of dim point targets. Here we present a simple algorithm that deploys the correlation between target signatures in two different (3-5 and 8-12 mum) IR frequency bands to reduce the amount of clutter. First, both individual IR bands are filtered with a morphological opening top-hat transform to extract small details. Second, the resulting detail images are thresholded to produce binary detail images, representing potential target areas. Third, a fused detail image is obtained by taking the intersection (logical AND) of both binary IR detail images. Details that appear in both IR bands remain in this fused detail image, whereas a large fraction of uncorrelated noise details is filtered out. Remaining noise details can be removed by taking into account the temporal characteristics of the target signatures and by using a priori knowledge of structure of the scene and the size of potential targets. The method is tested on two image sequences showing a maritime scene with three kayaks approaching from far away. The scenario was registered in the 3-5 mum and 8-12 mum IR frequency bands, and in the visual range. The results show that the proposed multispectral processing technique has the potential to improve the detection of dim point targets in cluttered maritime backgrounds.
Fingerprint matching is one of the most important stages in automatic fingerprint identification systems (AFIS). Traditional methods treat this problem as point pattern matching, which is essentially an intractable pr...
详细信息
Fingerprint matching is one of the most important stages in automatic fingerprint identification systems (AFIS). Traditional methods treat this problem as point pattern matching, which is essentially an intractable problem due to the various nonlinear deformations commonly observed in fingerprint images. In this article, we propose an effective fingerprint matching algorithm based on error propagation. Firstly, ridge information and Hough transformation are adopted to find several pairs of matching minutiae, the initial correspondences, which are used to estimate the common region of two fingerprints and the alignment, parameters. Then a MatchedSet which includes the correspondence and its surrounding matched minutiae pairs is established. The subsequent matching process is guided by the concept of error propagation: the matching errors of each unmatched minutiae are estimated according to those of its most relevant neighbor minutiae. In order to prevent the process from being misguided by mismatched minutiae pairs, we adopt a flexible propagation scheme. Experimental results demonstrate the robustness of our algorithm to non-linear deformation.
Mobile mapping of environment information from a moving platform plays an important role in the automatic acquisition of GIS (Geographic Information Systems). The extraction of railway infrastructure from video frames...
详细信息
暂无评论