Object detection in crowded scenes using context-driven label propagation

A computer program product for detecting individuals in a crowded scene, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions readable by a processing circuit to cause the processing circuit to perform a method comprising:

• receiving image data representing objects of a predetermined area;
• making an initial determination, that selected portions of the image data represent one or more entities of a selected class;
• determining an initial confidence value of selected portions of the image data, wherein the initial confidence value identifies a likelihood that the selected portions of the image data represent one or more entities of a selected class;
• utilizing said context confidence value and said initial confidence value to determine that one of the selected portions of the image data represents an entity of a selected class.

An individual detection system for detecting individuals in a crowded scene utilizing an image capturing device, the detection system comprising:

• a processor in communication with one or more types of memory, the processor configured to:
• receive an image data representing objects of a predetermined area;
• making an initial determination that selected portions of the image data represent one or more individuals;
• determining an initial confidence value of the selected portions of the image data, wherein the initial confidence value identifies a likelihood that the selected portions of the image data represents one or more individuals;
• determining a context confidence value of the selected portions of the image data, wherein the context confidence value identifies a contextual relationship between the selected portions of the image data;
• and
• utilizing said context confidence value and said initial confidence value to determine that one of the selected portions of the image data represents a selected portions individual.