Method and system of detecting and recognizing a vehicle logo based on selective search

A method of detecting and recognizing a vehicle logo based on Selective Search, comprising the steps of:

• positioning a license plate on an original image of a vehicle to obtain a license plate position;
• coarsely positioning a vehicle logo on the original image of the vehicle according to the license plate position, spatial structure between the license plate and the vehicle logo, and vehicle window edge feature, to obtain a coarse positioning image of the vehicle logo;
• selecting vehicle logo candidate areas in the coarse positioning image of the vehicle logo based on a central axis of the vehicle;
• performing target positioning on the vehicle logo candidate areas with a Selective Search, to obtain a set of target regions, wherein region combination performed with the Selective Search is based on color similarity, texture similarity, size similarity and fill similarity comprehensively;
• training a vehicle logo location classifier with Spatial Pyramid Matching based on Sparse Coding (ScSPM), to determine the vehicle logo from the set of target regions, to obtain a vehicle logo position;
• and
• training a multi-class vehicle logo recognition classifier with the Spatial Pyramid Matching based on Sparse Coding (ScSPM) to conduct specific type-recognition for the vehicle logo, to obtain a vehicle logo recognition result;
• determining a position of a down boundary for vehicle logo coarse positioning according to a position of an up boundary for vehicle logo coarse positioning, wherein the coordinate of the down boundary, Ydown, is determined by a formula Ydown=yup, and yup refers to the coordinate of the up boundary;
• coarsely positioning a vehicle window according to vertical projection of the original image of the vehicle, to obtain the vehicle window edge feature, and determining a position of the up boundary according to the vehicle window edge feature, the coordinate Yup of the up boundary being determined by a formula:
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• wherein, h(x) refers to the vertical projection of the original image of the vehicle, max2 h(x) denotes x-coordinates x1 and x2 corresponding to two maximum values h(x1) and h(x2) selected from the vertical projection h(x) of the edge from up to down, H refers to a height of the original image of the vehicle, and b refers to an experience threshold value;
• and
• obtaining the coarse positioning image of the vehicle logo according to the coordinate Ydown of down boundary and the coordinate Yup of the up boundary.