Abstract: To improve the celerity of object identification based on scale invariant feature transform(SIFT)，a new fast approach called ODCS-SIFT was proposed to locate and identify color object from scene using combination of object dominant color set(ODCS) and SIFT. The whole approach comprises two joint stage; off-line training stage and on-line identifying stage. At off-line stage, find ODCS and SII门气libraries through human-machine interaction, while at on-line stage, firstly search in the whole scene image using ordinal grid scanning and seed filling simultaneously, then locate the object roughly using the ODCS frequency restriction, lastly in the smaller grayed location a more real-time and precise SIFT extracting and matching are executed. Experimental results show that the ODCS-SIFT can improve the celerity of 0bject identification effectively.

Key words: Object dominant color set, Object identification, Feature combination