6. The method according to claim 5 , wherein the context score is defined as a length of a vector by coupling elements of respective representative vectors, [ Equation ⁢ ⁢ 6 ] SC = ( v ix v iy ⋮ v mx v my ) ( 6 ) wherein the representative vector of each bin is determined by obtaining the sum of neighboring feature vectors, belonging to any one of the bins, for each bin, [Equation 5] 
 v i =(v ix , v ty )  (5) wherein m is defined as the number of bins in the shape context.
5. The method according to claim 3 , further comprising the steps of: obtaining a shape context according to respective feature vectors by applying a procedure of a shape context that is defined as a histogram obtained by dividing a region around one feature vector into a plurality of sub-regions as bins, and counting a number of other feature vectors belonging to the respective bins, each of the other feature vectors being distributed around the feature vector, calculating a context score through a predetermined procedure by using the obtained shape context, and calculating the context score according to the query feature vector by applying the shape context to each query feature vector, wherein each resulting score is calculated according to the following equation instead of the equation (3): [ Equation ⁢ ⁢ 4 ] s = ∑ s f N f ⁢ ∑ r C N C ⁢ ∑ u SC ( 4 ) wherein u sc is the context score.