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This paper presents and evaluates a method for simultaneously tracking a target while localizing the sensor nodes of a passive device-free tracking system. The system uses received signal strength (RSS) measurements taken on the links connecting many nodes in a wireless sensor network, with nodes deployed such that the links overlap across the region. A(More)
This paper presents a novel method for tracking a moving person or object through walls using wireless networks. The method takes advantage of the motion-induced variation of received signal strength (RSS) measurements in a radio tomography network. Based on real measurements of a deployed network, we show that the RSS distribution on a wireless link can be(More)
SIFT (Scale Invariant Feature Transform) is an important local invariant feature descriptor. Since its expensive computation, SURF (Speeded-Up Robust Features) is proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback and to increase the(More)
In the scalable video coding (SVC) standard, interlayer intra prediction (ILIP) is one of the most fundamental coding tools used to reduce bit rate. The prediction block of macroblock (MB) in enhancement layer (EL) is obtained by upsampling the co-located base layer (BL) block. In this paper, we propose a new ILIP method by introducing the adaptive signal(More)
As the successor to H.264/AVC, High Efficiency Video Coding (HEVC) will provide 50% reduction on compression data compared to H.264/AVC. In this paper, we propose an intra prediction method based on inpainting algorithms and vector predictor for HEVC. Our method utilizes a combination of two important inpainting algorithms: Laplace partial differential(More)
This work presents a novel intra-frame coding scheme for depth maps that makes use of the characteristics of depth images: large smooth areas separated by sharp edges. The proposed method is block-based, thus can be easily integrated into H.264/AVC framework. By using the extracted edge information, each block is divided into several regions and each region(More)
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. In this paper, we proposed a novel defogging algorithm just based on a single image. Firstly, we employ the method of dark channel prior as a foundation of our algorithm. After experimental analysis about the(More)
As compressed sensing can capture signal at sub-Nyquist rate, it is suitable to apply multi-view compressed imaging framework in vision sensor networks. The image views in such networks are correlated with each other, and therefore the performance of independent view reconstruction can be further improved by joint reconstruction. In this paper, we propose a(More)
In this paper, a novel frame rate up-conversion (FRUC) scheme to achieve better visual quality for high-definition videos is proposed. The proposed algorithm has three main advantages over conventional FRUC algorithms. First, to increase the accuracy of motion estimation, this paper considers the diversity of motions, the retiming motion vectors of the(More)
OFDM system suffers from inter-carrier interference due to frequency offset produced by the movement of terminals. Several schemes have been proposed to mitigate this type of interference. In this paper, an unscented Kalman filter (UKF) based methodology is addressed to estimate the carrier frequency offset (CFO).We have compared the BER performance of UKF(More)