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Anomaly detection of small target in sea clutter based on S.D.E. theory is a cutting-edge research topic. This paper discusses the effect of window size of correlation on anomaly detection. A novel method is presented to adaptively adjust the window size, which results an obvious improvement of performance.
A new detection method is presented for the detection of dim small targets from infrared image sequences is presented. Firstly, Robinson guard filter suppresses the background clutter in single frame. Secondly, a auto-adaptive threshold algorithm is applied to segment the potential targets from background. Finally, the bi-direction chain is used to identify the real target base on the continuity of...
Image segmentation is a technique used to segment region of interest (ROI) in the image for further image processing applications. Contour extraction is one of the most important image segmentation methods. In this paper, a contour extraction method is proposed, which consist of two stages. The first stage is automatic initial edge point selection (IEPS), and the second stage is segmental contour...
This paper establishes a simulation platform of acoustic signal detection for ship target researches and passive sonar performance improvement. The acoustic signal is decomposed to ocean ambient noises and ship radiated noises, which consist of continuous and linear spectrum components. The acoustic signal is analyzed based on theory and measuring experiences, then modeled in MATLAB environment. The...
Motion detection and tracking is an important vision topic for many applications such as video surveillance. When this process takes place during video encoding and transmission, Regions-of-Interest (RoIs) turn to be a very useful tool in order to favor the encoding of such regions compared to the fixed background. In this paper, we show that, in conjunction with effective spatio-temporal filters,...
In this paper, we examine implementing a vision-based localization system that can locate objects in the scene from their images by homography and 3D geometry and how to reduce errors arising from radial distortion of cameras, noise during imaging processing and errors associated with manual measurement. By analyzing these errors and trying different scenarios, including simple camera calibration...
Far-field target detection, multi-sensor communications, and security are essential requirements of first-emergency networks. A radar-communications system is a potential opportunistic spectrum access (OSA) solution, harnessing the coexisting advantages of radio detection and ranging (RADAR), and wireless communications. A multi-functional waveform has been designed, by embedding an Orthogonal Frequency...
In this paper, a target localization method based on color recognition and connected component analysis is presented. The raw image is converted to HSI color space through a lookup table, followed by a line-by-line scan to find all the connected domains. By checking the size of each domain, most pseudo targets can be omitted and, meanwhile, the target position would be calculated. Owing to the absence...
A moving object segmentation algorithm based on edge detection is put forward in this paper. The algorithm reconstructs background from image sequence. It uses edge detection to eliminate the disturbance of shadow, and uses Gaussian filter to eliminate noise. The background subtraction is used to extract moving object. The experimental results show that this algorithm effectually avoids the influence...
Line detection in digital images is a fundamental aspect of many problems in computer vision. In the light of the problems, such as heavy computation and intensive memory occupation, existing in the Hough Transform, an improved fast line detection algorithm combining the time-frequency domain transform and the spatial domain transform is proposed. First, the wavelet lifting is used to extract low...
The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected...
Ubiquitous projection is the recent effort that tries to close the gap between the physical world and the virtual world by using a mobile projector. Using a projector and camera together has a conflict of preferred light conditions, making it difficult to implement a robust visual detector while retaining ubiquity. In this paper, we focus on techniques of visual object detection for a portable projector-camera...
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
In this paper, we propose a rule-based system for semantically understanding and analyzing the motion of the trajectories of the human activity. The proposed system can be used as a preprocessing phase for enhancing the object detection process. Detected trajectories are classified into three categories; normal, semi-normal and abnormal trajectories according to the distances between their adjacent...
There are many mechanisms that can cause inadequate or unreliable information in sensor networks. A user of the network might be interested in detecting and classifying specific sensors nodes causing these problems. There are many network layer based trust mechanisms in the literature to assess these issues; in contrast this work develops physical layer based trust metrics to detect non-functioning...
The problem of detecting the number of speakers for a particular segment occurs in many different speech applications. In single channel speech separation, for example, this information is often used to simplify the separation process, as the signal has to be treated differently depending on the number of speakers. Inspired by the asymptotic maximum a posteriori rule proposed for model selection,...
We present a sparsity-based algorithm for image change detection. A series of reference images in conjunction with an orthonormal basis are used to form an overcomplete basis. The mission image can then be represented as a linear combination of reference images and components of the orthonormal basis. We solve for the linear combination that has minimum l1 norm, encouraging a sparse representation...
This paper presents an iris detection and marking method based on Haar features from images of figures. We firstly apply Haar-features detection algorithm and Canny edge detection algorithm, to the image, then scan and extend the contours in particular areas to get an initial U-Curves marking iris contours, and then carries on sample expanding and noise reduction to get optimized sample points. At...
We propose a multi-objective optimization (MOO) technique to design an orthogonal frequency division multiplexing (OFDM) radar signal for detecting a moving target in the presence of multipath reflections. We employ an OFDM signal to increase the frequency diversity of the system. Moreover, the multipath propagation increase the spatial diversity by providing extra “looks” at the target. First, we...
In order to detect moving objects from video sequences with complex background, we propose an algorithm which is based on running average background modeling and temporal difference method. Firstly, we utilize the running average method to dynamically updating the background image. Through using background subtraction, we get a foreground image. Secondly, we use temporal difference method to get a...
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