Abstract: A method, system and software for determine a color of a tracked object. Using a first video sequence and foreground objects detected therein, a color rendering metric may be determined for each area of a plurality of areas in the scene. Such color rendering metrics may then be used in case a tracked object is determined to have different colors in different images of a second video sequence, such that the colors detected in an area associated with a higher color rendering metric is selected over an area associated with a lower color rendering metric.

Abstract: A method, a device and a non-transitory computer-readable storage medium for setting a confidence threshold for objects detected in a region of a captured scene based on historical confidence scores for objects detected in that region.

Abstract: A method for tracking an object in a scene is provided, including receiving a first image frame of a first image stream capturing a scene; detecting or tracking a first object in the first image frame, and determining that the first object is in a first part of the first image frame; determining, using object detection, that the first object belongs to a first object class; determining, based on multiple values of a tracking parameter each specific for different parts of the first image frame and for different object classes, a first value of the tracking parameter for the first part of the first image and for the first object class, and tracking the first object in a second image frame of the first image stream subsequent to the first image frame, based on the first value of the tracking parameter.