1. A method for semi automatic target initialization ( 100 ) comprises the steps of, inputting an image coordinate by user ( 101 ), selecting an initial window around the image coordinate by center-surround histogram distance ( 102 ), generating saliency map of the window ( 103 ), binarizing the saliency map ( 104 ), selecting a target ( 105 ), outputting a bounding box enclosing the target ( 106 ) and characterized by the following steps for binarizing the saliency map; detecting local maxima of the saliency map and sorting them in descending order to obtain a vector LocalMax sorted ( 402 ), calculating a normalized laplacian of the vector with the formula; ∇ norm 2 ⁢ ( f ) = ∇ 2 ⁢ ( f ) - min ⁡ ( ∇ 2 ⁢ ( f ) ) ∑ i ⁢ ∇ 2 ⁢ ( f ) ⁢ | i ⁢ - min ⁡ ( ∇ 2 ⁢ ( f ) ) , ( 403 ) obtaining a threshold by calculating a weighted average of the vector with the formula Thr=LocalMax sorted T ·∇ norm 2 (LocalMax sorted ) ( 404 ), binarizing the saliency map with the threshold ( 405 ), and wherein the step of selecting a target comprises selecting the most salient connected component in the binarized saliency map with minimum distance to the center.