Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car


We propose an autonomous blind spot monitoring method using a morphology-based saliency map (SM) model and the method of combining scale invariant feature transform (SIFT) with mean-shift tracking algorithm. The proposed method decides a region of interest (ROI) which includes the blind spot from the successive image frames obtained by side-view cameras… (More)
DOI: 10.1109/ICMLA.2008.129


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