# US 2015/0146932 A1 · Motion detection system and method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2015/0146932 A1 - Document ID: US20150146932A1 - Status: Published application - Kind: A1 - Application number: 14/282,213 - Filed: 2014-05-20 - Published: 2015-05-28 - Earliest claimed: 2013-11-25 - Assignees: Samsung Techwin Co., Ltd. - Applicants: Samsung Techwin Co., Ltd. - Inventors: Young Min BAEK; Jeong Eun LIM; Jik Han JUNG; Ji Sung KIM - Web page: https://patentgrep.com/patent/US20150146932A1 ## CPC - G06T 7/254: involving subtraction of images - G06T 2207/10016: Video; Image sequence - G06T 2207/20036: Morphological image processing - G06T 2207/30232: Surveillance - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract Provided are a motion detection system and method. The motion detection system includes a pixel-based detector configured to compare a previous frame and a present frame to extract pixel constituting a first foreground region, a region-based detector configured to extract a second foreground region based on peripheral pixels of a pixel to be inspected, and a motion determiner configured to detect, as a final motion region among pixel groups of the first foreground region, a pixel group comprising pixels corresponding to the second foreground region. ## Claims ### Claim 1 A motion detection system comprising: a pixel-based detector configured to compare a previous frame and a present frame to extract pixels constituting a first foreground region; a region-based detector configured to extract a second foreground region based on peripheral pixels of a pixel to be inspected; and a motion determiner configured to detect, as a final motion region among pixel groups of the first foreground region, a pixel group comprising pixels corresponding to the second foreground region. ### Claim 2 (depends on 1) The motion detection system of claim 1, wherein the motion determiner is further configured to select a pixel group among the pixel groups of the first foreground region based on an identification number and determine whether pixels corresponding to the second foreground region are included in the selected pixel group. ### Claim 3 (depends on 1) The motion detection system of claim 1, wherein the pixel groups of the first foreground region comprise at least one pixel group in which adjacent pixels of the first foreground region are grouped and assigned an identification number. ### Claim 4 (depends on 1) The motion detection system of claim 1, wherein the motion determiner is further configured to select, as the final motion region among the pixels groups of the first foreground region, the pixel group comprising the pixels corresponding to the second foreground region, and remove a pixel group among the pixel groups of the first foreground region not comprising pixels corresponding to the second foreground region from the final motion region. ### Claim 5 (depends on 1) The motion detection system of claim 1, wherein the pixel-based detector comprises: a first foreground detector configured to detect the first foreground region by using a background difference image technique; and a labeler configured to group pixels which are adjacent to each other among the pixels constituting the first foreground region into a plurality of pixel groups and assign an identification number to each of the plurality of pixel groups. ### Claim 6 (depends on 5) The motion detection system of claim 5, wherein the pixel-based detector further comprises: a noise remover configured to remove noise formed by a pixel group in which a number of pixels is equal to or less than a reference number, among the plurality of pixel groups, by applying a filter to the first foreground region; and an expander configured to expand a size of a foreground of the first foreground region through morphology dilation. ### Claim 7 (depends on 1) The motion detection system of claim 1, wherein the region-based detector comprises: a limit luminance detector configured to detect a peripheral upper limit luminance and a peripheral lower limit luminance in a corresponding peripheral region of a background modeling image corresponding to a peripheral region of the pixel to be inspected; and a second foreground detector configured to determine whether the pixel to be inspected corresponds to the second foreground region, based on a luminance of the pixel to be inspected and a result of a comparison of the luminance of the pixel to be inspected to the peripheral upper limit luminance and the peripheral lower limit luminance. ### Claim 8 (depends on 7) The motion detection system of claim 7, wherein in response to a value of the luminance of the pixel to be inspected being between the peripheral upper limit luminance and the peripheral lower limit luminance, the pixel to be inspected is determined to be a background pixel, and wherein in response to the value of the luminance of the pixel to be inspected exceeding a threshold value, the pixel to be inspected is determined to be a pixel of the second foreground region. ### Claim 9 A motion detection method comprising: comparing a previous frame and a present frame to extract pixels constituting a first foreground region; extracting a second foreground region based on peripheral pixels of a pixel to be inspected; and detecting, as a final motion region among pixel groups of the first foreground region, a pixel group comprising pixels corresponding to the second foreground region. ### Claim 10 (depends on 9) The motion detection method of claim 9, wherein the detecting of the pixel group comprises selecting a pixel group among the pixel groups of the first foreground region based on an identification number, and determining whether pixels corresponding to the second foreground region are included in the selected pixel group. ### Claim 11 (depends on 9) The motion detection method of claim 9, wherein the pixel groups of the first foreground region are configured as at least one pixel group in which adjacent pixels of the first foreground region are grouped and assigned an identification number. ### Claim 12 (depends on 9) The motion detection method of claim 9, wherein the detecting of the pixel group comprises selecting, as a final motion region among the pixels groups of the first foreground region, the pixel group comprising the pixels corresponding to the second foreground region, and removing a pixel group among the pixel groups of the first foreground region not comprising pixels corresponding to the second foreground region from the final motion region. ### Claim 13 (depends on 9) The motion detection method of claim 9, wherein the comparing of pixels comprises: detecting the first foreground region using a background difference image technique, and grouping pixels which are adjacent to each other among the pixels constituting the first foreground region into a plurality of pixel groups and assigning an identification number to each of the plurality of pixel groups. ### Claim 14 (depends on 13) The motion detection method of claim 13, wherein the comparing of pixels further comprises: removing noise formed by a pixel group in which a number of pixels is equal to or less than a reference number, among the plurality of pixel groups, by applying a filter to the first foreground region, and expanding a size of a foreground of the first foreground region through morphology dilation. ### Claim 15 (depends on 9) The motion detection method of claim 9, wherein the extracting of a second foreground region comprises: detecting a peripheral upper limit luminance and a peripheral lower limit luminance in a corresponding peripheral region of a background modeling image corresponding to a peripheral region of the pixel to be inspected, and determining whether the pixel to be inspected corresponds to the second foreground region, based on a luminance of the pixel to be inspected and a result of a comparison of the luminance of the pixel to be inspected to the peripheral upper limit luminance and the peripheral lower limit luminance. ### Claim 16 (depends on 15) The motion detection method of claim 15, wherein in the determining of whether the pixel to be inspected corresponds to the second foreground region, in response to a value of the luminance of the pixel to be inspected being between the peripheral upper limit luminance and the peripheral lower limit luminance, the pixel to be inspected is determined to be a background pixel, and in response to the value of the luminance of the pixel to be inspected exceeding a threshold value, the pixel to be inspected is determined to be a pixel of the second foreground region. ### Claim 17 A non-transitory computer readable medium having recorded thereon a program, which when executed by a computer, causes the computer to execute a method comprising: detecting a pixel-based foreground region by comparing a current image frame and a previous image frame; detecting a region-based foreground region by setting a pixel to be inspected and determining whether the selected pixel is included in the region-based foreground region, based on peripheral pixels of the selected pixel; and selecting a final motion region by comparing the pixel-based foreground region and the region-based foreground region. ### Claim 18 (depends on 17) The non-transitory computer readable medium of claim 17, wherein the comparing the current image frame and the previous image frame comprises using a background difference image technique. ### Claim 19 (depends on 17) The non-transitory computer readable medium of claim 17, wherein the detecting the region-based foreground region comprises: detecting a peripheral upper limit luminance and a peripheral lower limit luminance among the peripheral pixels of the selected pixel; and determining whether the selected pixel corresponds to the region-based foreground region by comparing a luminance of the selected pixel with the peripheral upper limit luminance and the peripheral lower limit luminance.