Systems and methods for tracking objects though a traffic control system include a plurality of sensors configured to capture data associated with a traffic location, and a logic device configured to detect one or more objects in the captured data, determine an object location within the captured data, transform each object location to world coordinates associated with one of the plurality of sensors; and track each object location using the world coordinates using prediction and occlusion-based processes. The plurality of sensors may include a visual image sensor, a thermal image sensor, a radar sensor, and/or another sensor. An object localization process includes a trained deep learning process configured to receive captured data from one of the sensors and determine a bounding box surrounding the detected object and output a classification of the detected object. The tracked objects are further transformed to three-dimensional objects in the world coordinates.
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