IMAGE SEGMENTATION FOR DISTRIBUTED TARGET TRACKING AND SCENE ANALYSIS

摘要

Pixels in a feature space can be divided using a hashing method. Random planes are selected within a feature space and a pixel's relationship to each plane determines a bit of a hash code. Clusters of pixels can be identified by local maxima in the hash cells in the feature space. Nearby pixels in the feature space can be further assigned to these local maxima based on hamming distance. An image can be segmented by observing adjacent pixels sharing a common hash code.