System and method for transforming video data into directional object count

Abstract

The present invention is a computer-implemented system and method for transforming video data into directional object counts. The method of transforming video data is uniquely efficient in that it uses only a single column or row of pixels in a video camera to define the background from a moving object, count the number of objects and determine their direction. By taking an image of a single column or row every frame and concatenating them together, the result is an image of the object that has passed, referred to herein as a sweep image. In order to determine the direction, two different methods can be used. Method one involves constructing another image using the same method. The two images are then compared, and the direction is determined by the location of the object in the second image compared to the location of the object in the first image. Due to this recording method, elongation or compression of the objects can occur because of acceleration or deceleration of the objects and can be uniquely utilized to determine the speed or movement path of the objects. The second method of determining direction involves comparing the object in the image to an established marker. The transformations can also be used to produce labeled data for training machine learning models: bounding-boxes provided in sweep image can be transformed to bound boxes in video, and boxes in video can be transformed into boxes in the sweep image.

Dependencies are inferred from the claim text.