neural_network_classifier: string, // required
// Accept only objects with contours whose circumscribed circle has a radius
// between "min_radius" and "max_radius". In adition to that, the ratio between the contour
// and the circumscribed circle must be larger than "min_area_ratio".
min_area_ratio: float // [0, 1] where 1 is a perfect circle
// Accept only object with contours whose circumscribed rectangle (bounding box)
// has a ratio of the short/long sides between "min_ratio" and "max_ratio".
min_ratio: float, // (0, 1], the closer to 1, the more "square" the contour must be
max_ratio: float, // same as above
// Threshold value which is used to determine if a pixel is different from the
// table, therefore it is considered movement.
// Values in range [1, 255). The higher the value, the more contrast there should be between
// the table and the object.