System and method to detect articulate body pose

A method for detecting an articulate body pose that includes a plurality of joints from imagery content, the method comprising:

• capturing a top-down view of the imagery content using an imaging device, the imaging device disposed at a height to focus on a vertical line of sight when capturing the top-down view of the imagery content;
• obtaining the top-down view of the imagery content;
• and
• processing the top-down view of the imagery content co-operatively with a machine learning algorithm, trained in tandem with the process, by:
• creating a part confidence map, for a plurality of sigma values, corresponding to each joint of the articulate body pose;
• creating a part affinity map, for a plurality of threshold values, corresponding to each body part associated with the each joint of the articulate body pose;
• receiving a defined part confidence map and a defined part affinity map from a memory communicatively coupled with the imaging device;
• comparing the part confidence map for the plurality of sigma values with the defined part confidence map to select a true sigma value from the plurality of sigma values;
• comparing the part affinity map for the plurality of threshold values with the defined part affinity map to select a true threshold value from the plurality of threshold values;
• generating a heatmap by projecting the part confidence map of the true sigma value on the top-down view of the imagery content;
• generating a vector map of the true threshold value by projecting the part affinity map on the top-down view of the imagery content;
• and
• generating a body-framework comprising skeleton structures corresponding to the articulate body pose, using the heatmap and the vector map, to detect the articulate body pose.

A processing circuit for detecting an articulate body pose that includes a plurality of joints from an imagery content, the processing circuit configured to:

• capture a top-down view of the imagery content using an imaging device, the imaging device disposed at a height to focus on a vertical line of sight when capturing the top-down view of the imagery content;
• obtain the top-down view of the imagery content;
• and
• process the top-down view of the imagery content co-operatively with a machine learning algorithm, trained in tandem with the process, by:
• creating a part confidence map, for a plurality of sigma values, corresponding to each joint of the articulate body pose;
• creating a part affinity map, for a plurality of threshold values, corresponding to each body part associated with the each joint of the articulate body pose;
• receiving a defined part confidence map and a defined part affinity map from a memory communicatively coupled with the imaging device;
• comparing the part confidence map for the plurality of sigma values with the defined part confidence map to select a true sigma value from the plurality of sigma values;
• comparing the part affinity map for the plurality of threshold values with the defined part affinity map to select a true threshold value from the plurality of threshold values;
• generating a heatmap by projecting the part confidence map of the true sigma value on the top-down view of the imagery content;
• generating a vector map of the true threshold value by projecting the part affinity map on the top-down view of the imagery content;
• and
• generating a body-framework comprising skeleton structures corresponding to the articulate body pose, using the heatmap and the vector map, to detect the articulate body pose.