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In this paper, a tracking scheme based on adaptive weighted technique is proposed to reduce the computational load of traditional data-fusion algorithm for heterogeneous measurements. For the location-estimation technique with the data fusion of radio-based ranging measurement and speed-based sensing measurement, the proposed tracking scheme based on the Bayesian approach is handled by a state space...
In this paper, we propose a weighted incremental subgradient (WIG) algorithm for positioning and tracking in wireless sensor networks. We formulate the location estimation of a target as a weighted least squares (WLS) problem by taking weights of the local estimates based on the reliability information of distance estimation, and then solve the WLS problem in an iterative, decentralized manner using...
Chang detection is one of the most important research issues in the field of video processing. This paper presents an adaptive method of objects and shadows detection in video streams based on the HSI color space. Bi-models of background is set up via the minimum, the maximum and the largest interframe absolute difference of per static pixel, which are adaptively updated by synthesizing pixel level,...
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