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To conclude this section, an execution time analysis is carried out. For that, two different parameters are considered: the image size and the process to update the reference frame for the background(-frame) subtraction. 53 GHz by obtaining 40 2 Motion Detection in Static Backgrounds the execution time depicted in Fig. 22. As it can be observed, the execution time is slightly higher when the updating operation is used. However, it is worth noting that it was considered the worst case in which the updating operation was required.
Finally, he re-enters the scene and moves around it. 16 shows some frame samples of the obtained result. It is worth noting that the person of interest was successfully detected in all the frames although he was occluded and his distance with respect to the camera was considerable and variable. In a similar way, the second considered video sequence observes a computer room where two people are constantly entering and leaving it. Nevertheless, in this case, the initial frames are free of foreground pixels which means that the reference frame for the background(-frame) subtraction, initially set to the first captured frame, is an exact model of scene background.
04 3. 12 6. 2 9. 5 2 21 . 3 2 52 . 7 2 67 . 1 2 83 . 6 1. 10 68 4. 10 76 7. 11 84 0. 92 11 4 0 Time (sec) Fig. 2 Pixel value evolution along time at pixel (157, 6) on Time of Day video sequence from Wallflower dataset  Moreover, thanks to the incorporation of a target detection technique when targets stop or start moving in the scene, a good performance is provided in different kinds of environments. Nevertheless, a drawback of the CoD technique is that it can have problems with vacillating background elements, such as the blinking of screens or the swaying of trees.