Methods and systems for audience monitoring

A system for audience monitoring, the system comprising:

• a receiver that receives an input of audience imaging information;
• a detector that detects a foreground of the received input;
• a blob segmentor that performs blob segmentation on the foreground of the received input to generate segmented blobs of the detected foreground;
• and
• a human presence analyzer configured to:
• analyze at least one segmented blob for detecting presence of at least one person by performing at least one operation selected from a group consisting of:
• skin tone verification, body verification, motion verification, size verification, and face verification;
• and
• determine false human presence via the skin tone verification and the size verification in the at least one segmented blob.

A system for audience monitoring, the system comprising:

• at least one processor configured to:
• receive an input of audience imaging information;
• detect a foreground of the received input;
• perform blob segmentation on the foreground of the received input to generate segmented blobs;
• analyze at least one segmented blob for detecting presence of at least one person by performing at least one selected operation from a group consisting of:
• skin tone verification, body verification, motion verification, size verification, and face verification;
• and
• determine false human presence via the skin tone verification and the size verification in the at least one segmented blob.

A computer program product comprising a non-transitory computer readable medium having control logic stored therein for causing a computer to exchange user-generated community information, the control logic comprising:

• code for receiving an input of audience imaging information;
• code for detecting a foreground of the received input;
• code for performing blob segmentation on the foreground of the received input to generate segmented blobs;
• code for analyzing at least one segmented blob for detecting presence of at least one person by performing at least one operation selected from a group consisting of:
• skin tone verification, body verification, motion verification, size verification, and face verification;
• and
• determine false human presence via the skin tone verification and the size verification in the at least one segmented blob.