This paper introduces a real-time method to extract vehicles in road environment, and mainly includes four parts as follows: firstly, using Double Level background learning method to obtain a stable background image and get a rough vehicle area. Secondly, using HSV color space and texture characteristics of SILTP mixed constraint method to suppress the influence of shadow. Thirdly, using Energy Density Analysis to enhance the area-of-interest, and finally, showing some experimental results.
A HSV-SILTP Based Shadow Suppression Approach for Moving Vehicle Extraction
01.07.2013
602972 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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