Cantor Colburn LLP
Object detection in crowded scenes using context-driven label propagation
A computer implemented method for detecting an object in a crowded scene utilizing an image capturing device. The method includes receiving an image of a predetermined area. From the image, the existence of selected portions as representing an entity of a selected class is determined. Each selected portion is assigned an initial confidence value that the selected portion is an entity representative of a selected class. Each selected portion is evaluated with each other to determine a context confidence value. The context confidence value and initial confidence value are utilized to determine which of the one or more selected portions are entities of a selected class.
INTERNATIONAL BUSINESS MACHINES CORPORATION
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Jingjing Quanfu Sharathchandra U.
Liu Fan Pankanti