People detection system with feature space enhancement

A people detection system with feature space enhancement, the system comprising:

• a plurality of overhead video cameras installed within a space, each of the plurality of overhead video cameras configured to capture real-time video of the space;
• a detector communicatively coupled to the plurality of overhead video cameras and configured to detect one or more persons present in the space, wherein the detector comprises:
• an image processing module configured to process video frames of the captured video to generate a plurality of positive image samples and a plurality of negative image samples, wherein the positive image samples comprise images having one or more persons present within the space and the negative image samples comprise images without the persons;
• a feature space estimation module configured to determine one or more feature space parameters, wherein the feature space parameters comprise a crop factor, a resize factor, or combinations thereof;
• and
• a detector module configured to apply the one or more feature space parameters to the positive and the negative image samples to generate curated positive and negative image samples and to detect one or more persons present in the space using a detection model trained by the curated positive and negative image samples.

A computer-implemented method for detecting persons in a space, the method comprising:

• accessing a plurality of video frames captured using one or more overhead video cameras installed in a space;
• extracting one or more raw images of the space from the plurality of video frames;
• processing the one or more raw images to generate a plurality of positive image samples and a plurality of negative image samples, wherein the positive image samples comprise images having one or more persons present within the space and the negative image samples comprise images without the persons;
• applying at least one of a crop factor and a resize factor to the positive and the negative image samples to generate curated positive and negative image samples;
• and
• detecting one or more persons present in the space using the curated positive and negative image samples.