Video motion detection using the algorithm of discrimination and the Hamming distance

Several video detection systems that use a simple system of motion detection (if something moves, is generated an alarm) have been proposed, for this reason we trust part of the process to the human interpretation. Recent studies have demonstrated that a person is almost impossible to kindly watch a static scene in a monitor more than 20 minutes, doing that traditional systems of video monitoring as CCTV systems are little reliable, also, it is necessary to add numerous and annoying the false alarms generated by the few elimination of irrelevant information (color, light, shade, etc.) within the scene. The artificial vision nowadays allows having an automatic system of monitoring with the capacities to identify real threats and alert of security at the same time that they are happening. This paper presents a method of video motion detection that bases its use on an algorithm of discrimination able to eliminate the irrelevant information caused by natural effects (sun, moon, wind, etc.) or animals, maintaining the maximum of details on the image, allowing a better detection of motion through the distance of Hamming doubly justified, reducing in this way rate of false alarms, obtaining a method of motion detection automatic and reliable. In this paper is mentioned the comparison with other techniques, demonstrating itself that the proposed method gives better results. The obtained results show the basic characteristics of this method of detection.