Localization in wireless sensor network is an important and meaningful issue, but the existing traditional algorithms cannot be applied to the emerging wireless multimedia sensor networks directly, because of the directional and regional sensing model of the camera node, and the anisotropic
shape of the target to be located. A new algorithm for target localization collaboratively is presented in this paper. At first, with the tilt photographing imaging model, the coordinates of the two points on the ground plane are obtained, which are projected from the top and bottom image
points of the object, then a linear equation is established; after that, all linear equations built on every node are fused on cluster-head node, through distributed cooperation policy, then a cost function is established in the sense of least square, so that the coordinates information of
target is obtained minimizing the cost function. Additionally, the weighted algorithm is proposed after analyzing every camera node's confidence level. Finally, simulation and real experiment verify the high precision of this method and the result will be more accurate using the weighted algorithm.
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