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Particle Filter based Target Tracking in Wireless Sensor Networks using Support Vector Machine

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Figure

Fig 1. An example of classification of two classes by SVM. The support vectors are filled
Fig. 2 Tracking scenario of 46 m2. The thick line is the light source. There are 10 nodes equipped with light sensors around the edges, indicated by squares
Fig 4. The simulated (black) path for two simulations, and the corresponding SVM-based DPF-estimated path (red); over T=20 time steps

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