1. A method of gesturing recognition executed by a computer, comprising: providing a plurality of gesture templates, wherein each gesture template defines a first gesture characteristic and a specific gesture corresponding to the first gesture characteristic; obtaining a plurality of images; generating a multi-background model according to the images; obtaining at least one object image according to the multi-background model, wherein the object image includes at least an object having a plurality of edges; gathering statistics of the included angles of any two adjacent edges of the object image by the computer to obtain a second gesture characteristic corresponding to the object image; comparing the second gesture characteristic of the object image with the first gesture characteristic of each gesture template; and when the second gesture characteristic is similar to the first gesture characteristic, obtaining the specific gesture corresponding to the first gesture characteristic.
2. The method of claim 1 , wherein each image has a plurality of pixels, each pixel has at least a color, and the generation of the multi-background model comprises the steps of: for the respective pixel located at a location of the image, determining whether the appearance of a specific color corresponding to the pixels located at the same location of the respective images is greater than a predefined frequency; determining that the pixel with the specific color as being representative of a part of a background when the appearance of the specific color corresponding to the pixels located at the same location of the respective images is greater than the predefined frequency; and generating the multi-background model according to the respective pixels determined as being representative of the background and the corresponding colors thereof.