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In this paper a new method of avoiding aliasing effects in synthetically generated video is presented. In other words, aim is to remove aliasing effects that disturb visual perception of the synthetically generated image sequence by the human eye. In general, aliasing occurs if the widely known sampling theorem is not met. In the field of video applications, more often than not the limiting factor...
In this paper a new anti-aliasing approach for motion-based object detection using linear shift invariant (LSI) filters is presented. Mainly originating from the field of signal processing, LSI-filter-based motion detection has been topic of research for a long time, though due to low computational power of contemporary computers the developed systems have been unfeasible for application in mass products...
Stability of multidimensional (k-D) systems is still a challenging field of work. Well known and established stability measures may lead to complex mathematical problems, while simple tests are restricted to special cases of n-D systems. A new stability test for certain discrete 2-D system realizations given in a Roesser model description is proposed. This test is suitable for signals bounded with...
In this paper a realization of a recursive 3-D cone filter applicable for low cost hardware like FPGAs, for instance, is presented. Based on the filter design method proposed by Bolle, multidimensional wave digital filters are used to approximate a cone-shaped frequency response. Focus is not set on filter design but on filter implementation and problems arising in that context. In detail, the impact...
In this paper the practical BIBO stability concept introduced by Agathoklis and Bruton is analyzed with respect to its applicability in the field of signal processing applications. In the field of n-D signal processing signals are often bounded to all but one dimension like be the time-direction of a spatio-temporal signal, for instance. This property makes the use of systems which meet the conditions...
Many n-D signal processing applications require realization in real time. We propose the realization of a 3-D spatio-temporal wave digital filter (WDF) in an FPGA. Optimization of the implemented hardware architecture includes evaluation of two different kinds of overflow handling, namely by saturation and a ldquomodulo 2rdquo type operation. The FPGA board is processing DVI signals that can be provided...
The paper presents a realization framework based on a natural state space description of n-D systems with a focus on design and analysis of discrete domain linear k-D systems. While widely used models satisfy control theoretic needs, the presented description addresses design, analysis, and realization of k-D signal processing systems. It provides a system description that offers better compliance...
In practice, n-D signal processing problems often show the property that underlying signals are unbounded with respect to only one direction, like the spatio-temporal signal of a line-scan camera, for example. Thus, the use of systems which meet the conditions of practical BIBO stability, mainly known from the field of control theory, seems to be feasible. In this paper the practical BIBO stability...
This paper is focused on the separation of three-dimensional signals due to different velocity or directional components, more precisely detecting moving objects in visual scenes by means of linear multidimensional filters. While soundness of results obtained by similar systems developed in the past has been convincing, interest in those systems declined to the reduced computational power of contemporary...
In this work a framework to measure the influence of training image resolution on classification performance for appearance-based object detection algorithms is presented. It is shown that based on sampling theory a reasonable image resolution for feature extraction can be chosen in advance, that is prior to the time consuming feature extraction and testing of the classifier. This is possible due...
Vision-based object detection is a core part of many automotive collision warning systems. Especially due to the extensive information an image can hold and the decreasing costs of computational power, it has attracted more and more interest in the last decade. In this paper we propose a motion-based approach to simplify the detection of moving objects in order to improve available methods and make...
A movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures...
Vision-based object detection is a core part of many automotive collision warning systems. Especially due to the extensive information an image can hold and the decreasing costs of computational power, it has attracted more and more interest in the last decade. This paper proposes a motion-based approach to simplify the detection of moving objects. In contrast to most of the existing approaches we...
Object detection and segmentation is one of the most challenging research topics in the field of active automotive safety systems. In order to warn the driver or automatically break before a potential collision, objects interfering the path of the host vehicle have to be detected and classified. Most recently developed approaches are based on two dimensional image processing, sometimes in combination...
Movement analysis of visual scenes can be performed by means of linear multidimensional filters, that have already been analyzed in the past. While soundness of results was convincing, interest in those systems declined due to the reduced computational abilities of contemporary computers. Modern hardware allows realization of velocity filters, if the n-D system is carefully adapted to the analysis...
Feature extraction and classification are two of the most important modules of any vision-based pedestrian detection system, since they are critical to the performance of the system as a whole. This paper presents the feature extraction and classification modules of a vision-based pedestrian detection system using a vehicle-mounted monochrome camera. The feature extraction module includes two kinds...
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