A method for detecting a reflection of an object in a sequence of image frames (200, 800, 900), the method being performed by a controller, the method comprising: detecting objects (150-1, 150-2) of a given type in the sequence of image frames (200, 800, 900), wherein the given type is a human being, an animal, or a vehicle, such as a car or a truck, and determining a detection score for each detected object (150-1, 150-2); determining, per each detected object (150-1, 150-2), distance ratios between unfiltered object position indicators identified for the detected object (150-1, 150-2), the unfiltered object position indicators being identified in a current image frame (200, 800, 900) in the sequence of image frames (200, 800, 900), wherein object position indicators represent points of interest for the target object as tracked from one image frame to the next, the distance ratios for the detected object (150-1, 150-2) defining a normalized size of the detected object (150-1, 150-2), wherein the unfiltered object position indicators are determined for all detected objects (150-1, 150-2) without any of the detected objects (150-1, 150-2) having been filtered out, due to their detection score being lower than a detection threshold; determining, per each detected object (150-1, 150-2), a displacement factor between a current location (220-1, 220-2) of the detected object (150-1, 150-2) in the current image frame (200, 800, 900) and a previous location of the detected object (150-1, 150-2) in a previous image frame in the sequence of image frames (200, 800, 900), the displacement factor for the detected object (150-1, 150-2) defining a normalized movement for the detected object (150-1, 150-2), wherein the normalized movement refers to movement in a common scale with respect to camera distance; and determining, in response to finding a match between the normalized sizes and the normalized movements of two of the detected objects (150-1, 150-2), that the one of these two detected objects (150-1, 150-2) which has a lower detection score is a reflection of the other of these two detected objects (150-1, 150-2). detecting objects (150-1, 150-2) of a given type in the sequence of image frames (200, 800, 900), wherein the given type is a human being, an animal, or a vehicle, such as a car or a truck, and determining a detection score for each detected object (150-1, 150-2); determining, per each detected object (150-1, 150-2), distance ratios between unfiltered object position indicators identified for the detected object (150-1, 150-2), the unfiltered object position indicators being identified in a current image frame (200, 800, 900) in the sequence of image frames (200, 800, 900), wherein object position indicators represent points of interest for the target object as tracked from one image frame to the next, the distance ratios for the detected object (150-1, 150-2) defining a normalized size of the detected object (150-1, 150-2), wherein the unfiltered object position indicators are determined for all detected objects (150-1, 150-2) without any of the detected objects (150-1, 150-2) having been filtered out, due to their detection score being lower than a detection threshold; determining, per each detected object (150-1, 150-2), a displacement factor between a current location (220-1, 220-2) of the detected object (150-1, 150-2) in the current image frame (200, 800, 900) and a previous location of the detected object (150-1, 150-2) in a previous image frame in the sequence of image frames (200, 800, 900), the displacement factor for the detected object (150-1, 150-2) defining a normalized movement for the detected object (150-1, 150-2), wherein the normalized movement refers to movement in a common scale with respect to camera distance; and determining, in response to finding a match between the normalized sizes and the normalized movements of two of the detected objects (150-1, 150-2), that the one of these two detected objects (150-1, 150-2) which has a lower detection score is a reflection of the other of these two detected objects (150-1, 150-2).