Wireless sensor networks facilitate the robust intelligent sensing technology. Multi-sensor fusion improves the information's robustness and precision. For segmenting, detecting and tracking moving target with ima...
详细信息
Wireless sensor networks facilitate the robust intelligent sensing technology. Multi-sensor fusion improves the information's robustness and precision. For segmenting, detecting and tracking moving target with image sequences, signal-view tracking is easily impacted by obstacles and other disturbances, especially, when the target is blocked and/or makes significant motion, and original algorithm can not afford precise and continual tracking. This paper proposes a real-time robust moving target multi-view tracking technique based on wireless sensor networks (WSN), which contains two parts: moving region extraction and multi-view information fusion. First, extract moving region from image sequences of each sensor node with automatic thresholding changedetection and brightness gradient adjustment. Second, fuse observational information of each node and analyze the 3D position of moving target with believed area combination method. The experimental results verify that the method has the ability of real-time robust tracking in complex background without any prior information of detected area, and it can also eliminate the infection of obstacles effectively
The strict constrains of wireless sensor networks (WSN) on individual sensor node's resource brings great challenges to the information processing. In order to maximize compression and minimize energy cost in WSN,...
详细信息
ISBN:
(纸本)1424406048
The strict constrains of wireless sensor networks (WSN) on individual sensor node's resource brings great challenges to the information processing. In order to maximize compression and minimize energy cost in WSN, a novel wavelet-based distributed audio coding (WDAC) algorithm is proposed. This approach fully exploits the correlation of the signal in both spatial and frequency domain by using distributed lifting wavelet transform with boundary effects. A low-complexity changedetection algorithm (LCDA) is developed to mark active blocks and we only encode these active regions to save energy significantly. The simulation results showed that these approaches is energy efficient and has low complexity with less memory requirements in implementation
In this paper, an effective algorithm for early detection of worms is proposed. The early detection algorithm based on multi-similarity integrates the worms’ behavior attributes with their traffic distribution and de...
详细信息
In this paper, an effective algorithm for early detection of worms is proposed. The early detection algorithm based on multi-similarity integrates the worms’ behavior attributes with their traffic distribution and detects abnormal behavior by their similarity distribution change of some attributes. Three groups of experiments are conducted to evaluate the effectiveness of the algorithm. The results show that the multi-similarity owning the specialty of higher true positive, lower false positive and false negative. It can be conclude that the algorithm can detect the worm attack ahead of its overspreading on the large-scale network.
A test statistic for equality of two covariance matrices following the complex Wishart distribution has previously been used in new algorithms for changedetection, edge detection and segmentation in polarimetric SAR ...
详细信息
A test statistic for equality of two covariance matrices following the complex Wishart distribution has previously been used in new algorithms for changedetection, edge detection and segmentation in polarimetric SAR images. Previously, the results for changedetection and edge detection have been quantitatively evaluated. This paper deals with the evaluation of segmentation. A segmentation performance measure originally developed for single-channel SAR images has been extended to polarimetric SAR images, and used to evaluate segmentation for a merge-using-moment algorithm for polarimetric SAR data.
In this paper, the computation of the unwrapped phase of the discrete-time Fourier transform (DTFT) of a one-dimensional finite-length signal is explored. The phase of the DTFT is not unique, and may contain integer m...
详细信息
In this paper, the computation of the unwrapped phase of the discrete-time Fourier transform (DTFT) of a one-dimensional finite-length signal is explored. The phase of the DTFT is not unique, and may contain integer multiple of 2 pi discontinuities. The unwrapped phase is the instance of the phase function chosen to ensure continuity. This paper compares existing algorithms for computing the unwrapped phase. Then, two composite algorithms are proposed that build upon the existing ones. The core of the proposed methods is based on recent advances in polynomial factoring. The proposed methods are implemented and compared to the existing ones.
Matching corners between images is an important and difficult problem in stereo vision and many other vision applications, and no effective method has been developed to cope with general cases. In this paper, we prese...
详细信息
Matching corners between images is an important and difficult problem in stereo vision and many other vision applications, and no effective method has been developed to cope with general cases. In this paper, we present an improved SUSAN (smallest univalue segment assimilating nucleus) corner detection algorithm and an effective algorithm to establish corner correspondence between two images based on Delaunay triangulation. First we construct Delaunay triangulations among corners of each image and compute interior angles of the triangles. The corner correspondence is established based on an observation that these angles completely and uniquely characterize the corners and their values are not affected by scale change, less affected by rotation and translation to some extent. At the matching stage, we first obtain the most similar triangle pairs, and then extend their edges circularly until all matching corners are triangulated and mismatching corners are discarded. Experimental results are provided which illustrate the good performance of the algorithm.
A comparative analysis of three image-change-detectionalgorithms is presented. They are: pairwise subtraction of consecutive images; a two-dimensional least-square adaptive algorithm; and an order-recursive least-squ...
详细信息
A comparative analysis of three image-change-detectionalgorithms is presented. They are: pairwise subtraction of consecutive images; a two-dimensional least-square adaptive algorithm; and an order-recursive least-square lattice adaptive algorithm. These algorithms are representatives of available procedures for image changedetection in cluttered environments. The analysis is supported by computer simulations, using both recorded and computer-generated images. Discussions of real-time processor requirements for these algorithms are also given.< >
DDoS attack has caused severe damage to e-commerce and e-service and is great intimidation to the development of them. After analyzing the detection algorithm of D-WARD, a representative source-end DDoS detection syst...
详细信息
DDoS attack has caused severe damage to e-commerce and e-service and is great intimidation to the development of them. After analyzing the detection algorithm of D-WARD, a representative source-end DDoS detection system, we introduced a nonparametric change point detection method in statistics and improved D-WARD with nonparametric recursive CUSUM algorithm and compared their respective performance. Experiments proved that the improved system is lower in false-positive rate and false-negative rate, which is more accurate and could adapt to more complex network environments. This improved system could be utilized in the protection of e-commerce against DDoS attacks.
A novel method is developed for ship detection in synthetic aperture radar (SRA) images, which is based on image distance computation techniques. Using a second-order hidden Markov mesh model to learn statistical mode...
详细信息
A novel method is developed for ship detection in synthetic aperture radar (SRA) images, which is based on image distance computation techniques. Using a second-order hidden Markov mesh model to learn statistical models of images, one can obtain the distance of two images for the purpose of detecting ships. First, the features of an image can be extracted using a method that best matches its statistical model, which is related to dynamic programming. Second, given the state transition matrix and observation distributions within states, statistical distance between images based on the similarity of their statistical models can be estimated. Experimental results demonstrate that this ship detection algorithm can effectively enhance ship target as well as suppress speckle and has better detection precision and lower calculation complexity.
暂无评论