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Foreground detection is one of the well and widely studied research topic in the field of computer vision. However, it still fails to cope with the many practical issues such as illumination changes, dynamic backgrounds, and shadow. This paper proposes optimal color space based probabilistic foreground detector. The intuition is to employ two most widely used color spaces (RGB and YCbCr) one at a...
This paper presents further development of the cascaded gradient extremum seeking control loop design. Such closed loop consists of two cascades. The inner cascade includes the dynamical part of a plant, while the outer cascade works with an extremum characteristic. The frequently used synchronous detector method is applied as gradient evaluation mechanism, but its technical realization is nonstandard...
In this paper we investigate, through experimental measurements, a propagation model of the visible light. The scope is to come up with a fine tuned propagation model which also accounts for reflection from the optical bench. The experiments were conducted in the European Laboratory of Non Linear Spectroscopy (LENS). The proposed propagation model can be used to evaluate the performance of visible...
This paper presents the drift analysis and improvement of integrated resistive sensor interfaces, focusing on BBPLL-based architectures. This architecture is intrinsically resilient to drift generated by environmental and circuit degradation effects due to its time-domain and highly-digital implementation. Nevertheless, for applications aiming at nearly zero drift, non-ideal effects resulting from...
In this paper, we present a drone dual-frequency technique in order to detect thick oil slicks in ocean. From physical point of view, the problem is considered to be a multi-layers wave surface scattering model where we study the reflection of the electromagnetic (EM) waves from the sea layer covered by oil layer. The electrical properties and the physical characteristics are defined for the layers...
Stereo correspondence is one of the most important steps in binocular stereovision. It consists feature point extraction and image matching. In order to solve the problems of bad anti-noise performance and low accuracy of image matching in Scale Invariant Feature Transform (SIFT) algorithm, an optimized matching method based on local feature algorithm with Speeded-up Robust Feature (SURF) is proposed...
A novelty detection algorithm inspired by human audio pattern recognition is conceptualized and experimentally tested. Time-domain data obtained from a microphone is processed by applying a short-time FFT, which returns time-frequency patterns. Such patterns are fed to a probabilistic algorithm, which is designed to detect novel signals and identify windows in the frequency domain where such novelties...
The paper evaluates the influence of the maximum vehicle acceleration and variable proportions of ACC/CACC vehicles on the throughput of an intersection. Two cases are studied: (1) free road downstream of the intersection; and (2) red light at some distance downstream of the intersection. Simulation of a 4-mile stretch of an arterial with 13 signalized intersections is used to evaluate the impact...
In this paper, we propose the model of a network consisting of All-Digital Phase-Locked Loop Network in application to Clock-Generating Systems. The method is based on a solution of a system of non-linear finite-difference stochastic equations and allows us to perform high speed simulations of a distributed Clock Network on arbitrary topology. The result of our analysis show a good agreement with...
In this paper, we propose an accurate automatic chessboard corner detecting algorithm of sub-pixel precision. The algorithm is based on a novel hyperbolic tangent model. A set of corners are detected initially by Harris' algorithm. Then the hyperbolic tangent model for each corner point is optimized by parameter adjustment. Finally, we use the optimal model to obtain the sub-pixel position of each...
In our previous work, we have applied ordinary linear regression equation to network anomaly detection. However, the performance of ordinary linear regression equation is susceptible to outliers. Unfortunately, it is almost impossible to obtain a “clean” traffic data set for ordinary regression model due to the burstiness of network traffic and the pervasive network attacks. In this paper, we make...
The thermal time constant of the pyroelectric detector is usually determined from the cutoff frequency of its frequency response to sinusoidally modulated radiation. The method can provide reliable measurement results on condition that the thermal and electric time constants are significantly different. Literature does not give more specific suggestions of desired values of the factor n which is the...
Online changepoint detection is an important task for machine learning in changing environments, as it signals when the learning model needs to be updated. Presence of noise that can be mistaken for real changes makes it difficult to develop an effective approach that would have a low false alarm rate and being able to detect all the changes with a minimal delay. In this paper we study how performance...
Plenty of video stuff is created, broadcasted, shared and stored each and every day by industry experts, beginners, and hobbyists. Video summaries aim at showcasing the semantics and content of a clip in reduced time and space to enable a quick overview of video clip relevance. This paper focuses on static summaries showing key frames from the video. The key frames are extracted by leveraging the...
Cognitive Radio (CR) is an innovative approach based on Software Defined Radio (SDR) that utilizes frequency spectrum efficiently to accommodate large number of users. Fast & fine spectrum sensing (to determine available free spectrum) is the primary objective in CR systems. Spectrum sensing is effected by multipath and shadowing which are the major hindrances in wireless communication; there...
Experiment· were conducted to measure the response characteristic· of a detector system consisting of an array of two electromagnetic pulse induction tensor·. Laboratory data for three object : (1)a ıteel sphere (2) a steel prolate spheroid and (3) an 81 mm mortar casing are presented in order to discuss how the response of an object varies with its depth, orientation and lateral offset from coil...
In crowded scene abnormal event detection is a major issue. Many existing methods are there. Abnormal events are those which cannot be well represented. For example, if a flight is hijacked or it is damaged, it is due to some abnormal activities. Abnormal activities may occur due to human intervention or due to some weather conditions. So in this system we are using abnormal detector to detect the...
Audio tagging aims to assign one or several tags to an audio clip. Most of the datasets are weakly labelled, which means only the tags of the clip are known, without knowing the occurrence time of the tags. The labeling of an audio clip is often based on the audio events in the clip and no event level label is provided to the user. Previous works have used the bag of frames model assume the tags occur...
In this paper the problem of detection of impulsive disturbances in archive audio signals is considered. It is shown that semi-causal/noncausal solutions based on joint evaluation of signal prediction errors and leave-one-out signal interpolation errors, allow one to noticeably improve detection results compared to the prediction-only based solutions. The proposed approaches are evaluated on a set...
We review several existing approaches for the design of parallel binary decentralized detection architectures. Such architectures employ a bank of n parallel binary local detectors (LDs) and a Data Fusion Center (DFC). The kth LD compresses its local observations yk with a local decision rule Γk(․) into a local decision, uk, and sends it to the DFC. The DFC collects all local decisions U, U = {u1,...
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