People detection and tracking with multiple features augmented with orientation and size based classifiers

A method comprising:

• receiving an image captured by an overhead camera;
• identifying a region of interest (ROI) of a plurality of regions within the image;
• selecting an object classifier from a plurality of object classifiers based on a position of the identified ROI relative to the overhead camera, a first of the plurality of object classifiers being configured to detect a first feature of the object, and a second of the plurality of object classifiers being configured to detect a second feature of the object;
• applying the selected object classifier to the identified ROI;
• and
• detecting presence of the object within the ROI in response to applying the selected object classifier to the identified ROI.

An apparatus comprising:

• means for receiving an image captured by an overhead camera;
• means for identifying a region of interest (ROI) of a plurality of regions within the image;
• means for selecting an object classifier from a plurality of object classifiers based on a position of the identified ROI relative to the overhead camera, a first of the plurality of object classifiers being configured to detect a first feature of the object, and a second of the plurality of object classifiers being configured to detect a second feature of the object;
• means for applying the selected object classifier to the identified ROI;
• and
• means for detecting presence of the object within the ROI in response to applying the selected object classifier to the identified ROI.