TWI314419B - Surveillance system having tracking functions and control method thereof - Google Patents
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1314419 九、發明說明: 【發明所屬之技術領域】 不贫明是有關於 θ …叫位血肌不邮久昇控制方法,且 是有關於-種具有追蹤功能之監視系統及其控制方法 【先前技術】 …、心先及社會如何變遷’治安問題—直是各時 ::避免的。因此監視系統曰益重要。習知監視系統包含 有移動式攝影機及一電腦。移動式攝影機包含一 及-移動機構,其中攝影機用以拍攝—影#,此影片:如 是-類比式或數位式影片。移動機構例如是一旋轉台機 構,用以承載攝影機,並且此旋轉台機構可使攝影機進行 水平方向或垂直方向之運動,以擴大攝影機的拍攝範圍。 腦則具有移動式攝影機之控制介面,用以控制移動式攝 影機之運動並處理移動式攝影機所拍攝的影片。1314419 IX. Description of the invention: [Technical field to which the invention belongs] Not poor is a method for controlling the blood muscles of the θ ... called the blood muscles, and there is a monitoring system with tracking function and its control method. Technology] ..., the heart and the society how to change 'security issues' - straight time:: avoid. Therefore, monitoring systems are important. The conventional monitoring system includes a mobile camera and a computer. The mobile camera includes a - and a moving mechanism, wherein the camera is used to shoot - shadow #, this film: if - analog or digital film. The moving mechanism is, for example, a rotary table mechanism for carrying a camera, and the rotary table mechanism allows the camera to move horizontally or vertically to expand the shooting range of the camera. The brain has a mobile camera control interface that controls the motion of the mobile camera and processes the movies captured by the mobile camera.
習知監視系統雖然具有自動左右來回移動的功能,但 由於動作單調且固定’因此容易讓人躲過其監視。因此附 加追蹤功能於監視系統,特別是增加可自動追蹤人類臉部 之功能,將有效提升監視系統的作用,使監視系統不易遭 到閃避,並且其拍攝的晝面將包含更多被拍攝者之臉部晝 面,使拍攝結果更具有價值。然而目前應用於監視系統的 追蹤功能,大多止於自動檢知移動物體,即判斷有移動物 體進入監視畫面後,立即送出警告訊息,且同一時間開啟 錄影功能,但仍然缺少了自動追蹤目標物的功能。 【發明内容】 5 1314419 統,月的目的就是在提供一種具有追縱功能之監視系 、 善習知監視系統容易遭到閃避的缺點。 之的满^月的另一目的就是在提供一種具有追蹤人臉功能 臉;畫面統’使監視系統之拍攝結果包含更多被拍攝者之 系絲,t發月之上述目的,提出—種具有追縱功能之監視 移動—移動式攝影機、一電腦及一追縱軟體,其中 控影機用以拍攝一影片’電腦具有移動式攝影機之 電腦用::=:控:移動式攝影機,追蹤軟體 ==構控制模組,其中影像榻取模組用以產生至少 片此數位影像是掏取自移動式攝影機拍攝之影 屬广=模组用以判斷數位影像之每-組成畫素是否 =…物之影像晝素’機構控制模組 3=式攝影機追蹤目標物,其中修正訊號是藉由 象查责數-之卜區域與一第二區域中屬於目標物之 衫像畫素數置而產生。 物之較佳實施例所述之監視系統,其中目標 像匕3 —人類臉部之影像。 式攝較佳實施例所述之監視系統,其中移動 機包3-旋轉台機構,用以改變移動式攝影機之拍 ,像一較佳實施例所述之監視系統,其中數位 ^像疋擷取自衫片之一局部區域。 根據本發明一較佳實施例所述之監視系統,其中目標 1314419 物之影像畫素色彩範圍包含一 RGB色彩座標區中之一人臉 膚色範圍。 根據本發明一較佳實施例所述之監視系統,其中修正 訊號包含水平方向修正訊號及垂直方向修正訊號。 本發明更提出一種監視系統之追蹤軟體,執行於一電 腦’此電腦具有一移動式攝影機之控制介面,用以控制移 動式攝影機並處理移動式攝影機所拍攝之影片,追蹤軟體 包含有一影像擷取模組、一影像處理模組及一機構控制模 組,影像擷取模組用以產生一至少一數位影像,此數位影 像是擷取自移動式攝影機所拍攝之影片,影像處理模組用 以判斷數位影像之每一組成晝素是否屬於一目標物之影像 晝素,機構控制模組用以產生一修正訊號,使移動式攝影 機追蹤目標物,其中修正訊號是藉由比較數位影像之一第 區域與一第二區域中屬於目標物之影像畫素數量而產 生。 本發明更提出一種監視系統之控制方法,執行於一電 腦,此電腦具有一移動式攝影機之控制介面,用以控制移 動式攝影機並處理移動式攝影機所拍攝之影片,此控制方 法首先從移動式攝影機所攝取之一影片中擷取至少一數位 影像,接著判斷數位影像之每一組成晝素是否屬於一目標 物之影像畫素,最後產生一修正訊號,使移動式攝影機追 蹤目標物,其中修正訊號是藉由比較數位影像之一第—區 域與一第二區域中屬於目標物之影像晝素數量而產生。 本發明之監視系統包括一追蹤軟體,因此具有追蹤一 目標物之功能,進而使此目標物不易躲過監視系統之監視 7 1314419 範圍。 本發明之監視系統’其監視之目標物可設定為人類之 臉部’因此具有追蹤人類臉部之功能,如此,其拍攝的晝 面包含更多被拍攝者之臉部畫面,使拍攝結果更具有價值。 【實施方式】 參照第1圖,其繪示依照本發明一較佳實施例之具有 追蹤功能之監視系統方塊圖,監視系統i 〇包含有一電腦U 及一移動式攝影機12。其中移動式攝影機12用以拍攝一影 片,電腦11具有移動式攝影機12之控制介面13,用以控 制移動式攝影機12並處理移動式攝影機12所拍攝的影 片。值得注意的是,監視系統1〇包含一追蹤軟體14,此= 蹤軟體14執行於電腦η,此追蹤軟體14包含有一影像擷 取模組141 一影像處理模組142以及—機構控制模組 ⑷。其中影像擷取模組141用以產生至少一數位影像,此 數位影像是擁取自移動式攝職12所減之影ρ影像處 理模組142用以判斷數位影像之每一組成晝素是否屬於一 目標物之影像晝素(pixel)。機構控制模組143用以產生一修 正訊號,使移動式攝影機12追蹤此目標物。 ^ 參照第2圖’其繪示依照本發明一較佳實施例之影像 擷取",L程圖。首先,於一監視晝面中設定一擷取範圍如。 之後,將此掏取範圍之影像掏取成為-數位影像S22。參照 第3圖’其緣不依照本發明一較佳實施例設定梅取範圍示 意圖。使用者可於—監顏畲;丄 凰視畫面31中設定一擷取範圍32。例 如矩形監視晝面3 1之钯私ώ描从, 起。庋軚為(〇,〇),終點座標為(χ,γ), 8 1314419 使用者例如設定矩形擷取_32之起始座標$ (χ训, 或者’使用者亦可輸入起始座標 (X训,以及揭取影像之長度與寬度大小分別為i X2-X1 |, | Y2-Y!卜如此’即可完成掏取範圍32之設定。 參照第4圖’其繪示依照本發明一較佳實施例之影像 處理流程®。本發明之監視系統所追蹤的目標物例如是一 人類之臉部’此目標物之影像晝素色彩範圍包含一 rgb色 彩座標區中之一人臉膚色範圍,時參照第i圖與第4圖, 首先,影像處理模Μ 142 If人影像操取模⑯141所掘取到 的數位影像S41’並將數位景彡像每—畫素之色彩與__人臉膚 色條件式進行比對S42,最後將符合人臉膚色條件式的畫素 點保留’不符合人臉膚色條件式的畫素點則去除,以分離 人臉膚色與非人臉膚色所在區域S43。 更詳細而言,人臉膚色條件式主要是利用數位影像 人臉膚色與非人臉膚色在RGB色彩座標中,分佈範圍 的不同而加以統計建立的,人臉膚色條件式例如是: FUx (0·2<s<°3) & (°*3 <r <α5) & (G>B) & (R>g+30)Although the conventional monitoring system has the function of automatically moving back and forth, it is easy to avoid the monitoring because the action is monotonous and fixed. Therefore, the additional tracking function for the monitoring system, especially the function of automatically tracking the human face, will effectively enhance the role of the monitoring system, making the monitoring system less vulnerable to dodging, and the face of the shooting will contain more photographers. Faces are noodles, making the results more valuable. However, the tracking function currently applied to the monitoring system mostly stops automatically detecting the moving object, that is, after the moving object enters the monitoring screen, the warning message is immediately sent, and the recording function is turned on at the same time, but the automatic tracking target is still missing. Features. [Summary Content] 5 1314419 The purpose of the month is to provide a monitoring system with a tracking function, and a good knowledge monitoring system is vulnerable to dodge. The other purpose of the full moon is to provide a face with a tracking face function; the screen system makes the shooting result of the monitoring system contain more of the ray of the photographer, and the above purpose is proposed. Surveillance of the tracking function - mobile camera, a computer and a tracking software, in which the camera is used to shoot a movie 'computer with a mobile camera::=: control: mobile camera, tracking software = The control module is configured to generate at least one of the digital images captured by the mobile camera. The module is used to determine whether each component of the digital image is a component. The image element's mechanism control module 3=type camera tracks the target object, wherein the correction signal is generated by the image-like prime number of the object in the second area and the second area. The monitoring system of the preferred embodiment wherein the target is 匕3 - an image of a human face. The monitoring system of the preferred embodiment, wherein the mobile phone package 3-rotating table mechanism is used to change the shooting of the mobile camera, such as the monitoring system of the preferred embodiment, wherein the digital camera captures A partial area of the shirt. A monitoring system according to a preferred embodiment of the present invention, wherein the image pixel color range of the target 1314419 includes a face skin color range in an RGB color coordinate area. According to a preferred embodiment of the present invention, the correction signal includes a horizontal direction correction signal and a vertical direction correction signal. The invention further provides a tracking software for monitoring system, which is executed on a computer. The computer has a control interface of a mobile camera for controlling the mobile camera and processing the film captured by the mobile camera. The tracking software includes an image capture system. The image capture module is configured to generate at least one digital image. The digital image is captured from a mobile camera, and the image processing module is used for the image capture module. Determining whether each constituent element of the digital image belongs to an image element of a target object, and the mechanism control module is configured to generate a correction signal for the mobile camera to track the target object, wherein the correction signal is by comparing one of the digital images The area and a second area are generated by the number of image pixels belonging to the target. The invention further provides a control method for a monitoring system, which is implemented on a computer having a control interface of a mobile camera for controlling a mobile camera and processing a movie taken by the mobile camera. The control method is firstly from the mobile type. The camera captures at least one digital image, and then determines whether each constituent element of the digital image belongs to an image pixel of a target, and finally generates a correction signal for the mobile camera to track the target, wherein the correction The signal is generated by comparing the number of image pixels belonging to the target in the first region and the second region of the digital image. The monitoring system of the present invention includes a tracking software and thus has the function of tracking an object, thereby making it difficult for the target to escape the surveillance system's monitoring range. The monitoring system of the present invention 'the target of monitoring can be set as the face of the human' and thus has the function of tracking the human face, so that the face of the shooting contains more facial images of the photographer, so that the shooting result is more Have value. [Embodiment] Referring to Figure 1, a block diagram of a monitoring system having a tracking function according to a preferred embodiment of the present invention is shown. The monitoring system i includes a computer U and a mobile camera 12. The mobile camera 12 is used to capture a video, and the computer 11 has a control interface 13 of the mobile camera 12 for controlling the mobile camera 12 and processing the images captured by the mobile camera 12. It should be noted that the monitoring system 1 includes a tracking software 14, which is executed on the computer η. The tracking software 14 includes an image capturing module 141, an image processing module 142, and a mechanism control module (4). . The image capturing module 141 is configured to generate at least one digital image. The digital image is captured by the mobile camera 12 and the image processing module 142 is used to determine whether each constituent element of the digital image belongs to The image of a target is pixel. The mechanism control module 143 is configured to generate a correction signal to cause the mobile camera 12 to track the target. ^ Referring to Figure 2, there is shown an image capture ", L-process diagram in accordance with a preferred embodiment of the present invention. First, set a range of captures in a monitor surface. Thereafter, the image of the captured range is extracted into a digital image S22. Referring to Fig. 3, the outline of the range is not set in accordance with a preferred embodiment of the present invention. The user can set a capture range of 32 in the monitor screen 31. For example, the rectangular monitoring of the surface of the palladium 3 1 from the palladium.庋軚 is (〇, 〇), the end point coordinates are (χ, γ), 8 1314419 The user, for example, sets the rectangle to take the starting coordinate of _32 $ (training, or 'user can also enter the starting coordinates (X The length and width of the training and the extracted images are i X2-X1 |, | Y2-Y!, so that the setting of the capturing range 32 can be completed. Referring to Figure 4, it is shown in accordance with the present invention. Image processing flow of a preferred embodiment. The target object tracked by the monitoring system of the present invention is, for example, a human face. The image color range of the target includes a face color range in an rgb color coordinate area. Referring to the first and fourth figures, first, the image processing module 142 If the human image captures the digital image S41' captured by the modulo 16141 and the digital image is like the color of each pixel and the color of the face. The conditional expression is compared with S42, and finally the pixel points that match the face skin condition condition are retained, and the pixel points that do not conform to the face skin condition condition are removed to separate the face color and the non-face color skin area S43. In detail, the face color condition is mainly based on digital image Face skin color and non-human skin color are statistically established in the RGB color coordinates, and the face color condition is, for example,: FUx (0·2<s<°3) & (°*3 <;r<α5)&(G>B)&(R>g+30)
Hx,y) [〇 otherwise ….(1) 其中: r =R/(R+G+B) m ::;3; 在人臉膚色條件式(1)中,Fl( x,y )代表構成數位影 9 1314419 像中的任一點畫素,而R、G及B分別是此晝素紅色、綠 色及藍色之色彩值,當Fi(x,y) = 〇時,代表該畫素點的 顏色沒有落在RGB色彩座標區中之人臉膚色範圍之内,即 認定該晝素點之色彩不屬於人臉膚色’所以我們將此晝素 點加以去除;當FlCx’y)^!時,即該晝素點的之色彩落 在RGB色彩座標區中之人臉膚色範圍内,則該晝素點加以 保留。如此,可以將符合人臉膚色條件式(1)的畫素點保留, 並去除不符合人臉膚色條件式(1)的畫素點’以分離數位影 像中符合人臉膚色與不符合人臉膚色之區域。 參照第5圖,其繪示依照本發明一較佳實施例之機構 控制流程圖。首先計算人臉膚色所在區域之左、右偏離資 訊S51,接著計算人臉膚色所在區域之上、下偏離資訊 S52 ’最後,利用左、右偏離資訊及上、下偏離資訊產生一 修正訊號S53。 同時參照第1圖與第5圖,在計算人臉膚色所在區域 之左、右偏離資訊的步驟S51中,首先將影像處理模組142 處理完成的影像,平均分成左半、右半二個區域,然後計 算左半、右半區域各自擁有的人臉膚色晝素點總數,最後 比較左半、右半區域各自擁有的人臉膚色晝素點總數,若 左半區域擁有較多的人臉膚色畫素點數,即代表人臉膚色 所在區域偏離了數位影像的中心點坐標的左方;若右半區 域擁有較多的人臉膚色畫素崎,即代表人臉膚色所在區 域偏離了數位影像的中心點坐標的右方。 舉例來說,當影像處理模組142處理完成一張大小為 (K X L)晝素的數位f彡像,首先機構控制模組⑷會將完成 1314419 分離人臉膚色與非人臉膚色所在區域的數位影像平均分成 左半、右半二個區域。然後例如以下列二個方程式判定人Hx,y) [〇otherwise ....(1) where: r =R/(R+G+B) m ::;3; In the face color conditional expression (1), Fl(x,y) represents the composition Digital image 9 1314419 Any pixel in the image, and R, G, and B are the color values of the red, green, and blue colors, respectively. When Fi(x,y) = 〇, it represents the pixel point. The color does not fall within the skin color range of the RGB color coordinate area, that is, the color of the pixel point is not the skin color of the face', so we remove the pixel point; when FlCx'y)^! That is, the color of the pixel point falls within the range of the skin color of the face in the RGB color coordinate area, and the pixel point is reserved. In this way, the pixel points conforming to the face skin condition condition (1) can be retained, and the pixel points that do not conform to the face skin condition condition (1) can be removed to separate the face color and the non-fit face in the digital image. The area of skin color. Referring to Figure 5, there is shown a flow chart of the mechanism control in accordance with a preferred embodiment of the present invention. First, the left and right deviations of the area where the skin color of the face is located are deviated from the information S51, and then the upper and lower deviation information S52' is calculated for the area where the skin color of the face is located. Finally, the left and right deviation information and the upper and lower deviation information are used to generate a correction signal S53. Referring to FIG. 1 and FIG. 5 simultaneously, in the step S51 of calculating the left and right deviation information of the area where the skin color of the face is located, the image processed by the image processing module 142 is first divided into the left half and the right half. Then, calculate the total number of face color points in the left half and right half, and finally compare the total number of face color points in the left half and right half, if the left half has more face color The number of pixels, that is, the area where the skin color of the face is deviated from the left side of the coordinates of the center point of the digital image; if the right half of the area has more face color, the area where the skin color of the face is deviated from the digital image The right side of the center point coordinates. For example, when the image processing module 142 processes a digital image of a size (KXL), the mechanism control module (4) will complete the 1314419 separation of the face color and the area of the non-human skin color. The image is divided equally into the left half and the right half. Then, for example, the following two equations are used to determine the person.
臉膚色所在區域為偏離數位影像中心點的左方還是右方: ^-1 2 LIs the area of the face skin color deviated from the left or right of the center point of the digital image: ^-1 2 L
K L Σ Σ F1(x,y) > Σ Σ fK L Σ Σ F1(x,y) > Σ Σ f
κ Lκ L
Hx. y) ε •(4) κ 1 (χ,y) > Σ Σ F“x,y) + a 〇 γ sb 〇 .(5) 其中ε為一誤差容許量’用以防止當人臉膚色所在區 域僅有細微改變,而整體並無偏離數位影像的中心點坐標 時,可能造成移動式攝影機12左右來回的移動◊此誤差容 許量可以由使用者自定’當使用者選擇較大的誤差容許 量’則人臉膚色所在區域偏離數位影像的中心點坐標較多 的長度時’才會得到人臉膚色區域偏離的資訊。 方程式(4)及方程式(5)之原理為當人臉膚色所在區域 偏離數位影像中心點之左方時,數位影像中的左半區域自 然就會擁有較多的人臉膚色晝素點,即方程式(4)成立時, 代表左半區域所擁有的人臉膚色畫素點比右半區域來得 多’所以就能得到人臉膚色區域向左偏離的資訊。同理, 當方程式(5)成立時’代表右半區域所擁有的人臉膚色晝素 點比左半區域來得多’所以就能得到人臉膚色區域向右偏 離的資訊。 同上述之原理’在計算人臉膚色所在區域之上、下偏 11 1314419Hx. y) ε •(4) κ 1 (χ,y) > Σ Σ F “x,y) + a 〇γ sb 〇.(5) where ε is an error tolerance 'to prevent being a face The area where the skin color is located has only slight changes, and the overall deviation of the center point coordinates of the digital image may cause the mobile camera 12 to move back and forth. The error tolerance can be determined by the user's choice when the user selects a larger one. The error tolerance 'when the area of the face skin color deviates from the center point coordinate of the digital image, the information of the face color area deviation will be obtained. The principle of equation (4) and equation (5) is when the face color is When the area is deviated to the left of the center point of the digital image, the left half of the digital image will naturally have more face color points, that is, when the equation (4) is established, it represents the face of the left half. The skin color point is much more than the right half area, so you can get the information that the face color area deviates to the left. Similarly, when equation (5) is established, it represents the face color ratio of the right half area. The left half is coming much more, so It can get the information that the face color area is deflected to the right. The same principle as above is used to calculate the face color area and the upper side is 11 1314419
離資訊的步驟中’首先將數位影像處理模組142處理完成 的影像,平均分成上半、下半二個區域,然後計算上半、 下半區域各自擁有的人臉膚色畫素點總數,最後比較上 半、下半區域各自擁有的人臉膚色晝素點總數,若上半區 域擁有較多的人臉膚色晝素點數,即代表人臉膚色所在區 域偏離了數位影像的中心點坐標的上方;若下半區域擁有 較多的人臉膚色晝素點數,即代表人臉膚色所在區域偏離 了數位影像的中心點坐標的下方。 例如以下列二個方程式判定人臉膚色所在區域為偏離 數位影像中心點的上方還是下方:In the step of separating information, the image processed by the digital image processing module 142 is first divided into upper half and lower half regions, and then the total number of face color pixels in the upper half and the lower half is calculated. Finally, Compare the total number of face color points in the upper half and the lower half. If the upper half has more face color points, it means that the area where the skin color is located deviates from the center point coordinates of the digital image. Above; if the lower half has more face color points, that is, the area where the skin color of the face is deviated from the center point coordinates of the digital image. For example, the following two equations are used to determine whether the area of the human face color is above or below the center point of the digital image:
2 ^ K L K ….(6) ….⑺ ^〇SFl(X,y) > Σ ZFi(x;y)+^ L Κ γ'1 κ L Fl(x> y) > Σ Σ F1(X, y) + ε ^Γ+1 ^〇Λ = ° 當方程式(6)成立時,代表上半區域所擁有的人臉膚色 晝素點比下半區域來得多’所以就能得到人臉膚色區域向 上偏離的資訊;同自,當方程式⑺成立時,代表下半區域 所擁有的人臉膚色晝素點比上半區域來得多,所以就能得 到人臉膚色區域向下偏離的資訊。 最後,機構控制模組143將利用左、右偏離資訊及上、 下偏離^訊產生-修正訊號,傳送至移動式攝影機U之控 制71面13使人臉膚色所在之區域,重新回到數位影像的 中、點,進而使移動式攝影機12追蹤被拍攝者之臉部。 12 1314419 值得-提的是,本發明之監視系統10,其追縱軟體i4 可獨立開發成為一應用軟體,並且採用外掛方式附加於一 習知數位監視系統,使習知數位監視系統具有追蹤一目標 物之功能。使用者只要利用追縱軟冑14設定欲榻取的畫面 範圍及被追縱目標物之色彩範圍,就能達到追蹤目標物之 目的。 由上述本發明較佳實施例可知,應用本發明具有下列 優點。 〜 —、本發明之監視系統具有一追蹤軟體,因此具有追 蹤-目標物之功能,進而使此目標物不易躲過監視系統之 監視範圍。 二、本發明之監視系統其追蹤軟體可採用外掛方式附 加於-習知數位監視系統,使f知數位監視系統具有追縱 —目標物之功能。 —、本發明之監視系統具有追蹤人類臉部之功能,其 拍攝的晝面包含更多被拍攝者之臉部晝面,使拍攝結果更 具有價值。 以雖然本發明已以一較佳實施例揭露如上,然其並非用 、、限疋本發明’任何熟習此技藝者,纟不脫離本發明之粹 神^範圍内’當可作各種之更動與潤飾,因此本發明之保 護fe圍當視後附之巾請專利範圍所界定者為準。 【圖式簡單說明】 為讓本發明之上述和其他目的'特徵、優點與實施例 b明顯易懂,所附圖式之詳細說明如下: 13 1314419 第i圖繪示依照本發明-較佳實施例之監視系統方塊 圖。 第2圖繪示依照本發明-較佳實施例之影像褐取流程 圖。 第3圖繪示依照本發明-較佳實施例設定操取範圍示 意圖。 第4圖繪不依照本發明一較佳實施例之影像處理流程 圖02 ^ KLK ....(6) ....(7) ^〇SFl(X,y) > Σ ZFi(x;y)+^ L Κ γ'1 κ L Fl(x> y) > Σ Σ F1(X , y) + ε ^Γ+1 ^〇Λ = ° When equation (6) is established, it means that the face of the upper half has a much more radiance than the lower half, so you can get the face color area. Information that deviates upwards; as well, when equation (7) is established, it means that the face color of the face in the lower half is much larger than that of the upper half, so that the information of the face color area deviating downward can be obtained. Finally, the mechanism control module 143 will use the left and right deviation information and the upper and lower deviation signal generation-correction signals to be transmitted to the control plane 71 of the mobile camera U to make the face color area and return to the digital image. The middle point and the point further cause the mobile camera 12 to track the face of the subject. 12 1314419 It is worth mentioning that, in the monitoring system 10 of the present invention, the tracking software i4 can be independently developed into an application software, and is attached to a conventional digital monitoring system by means of an external connection, so that the conventional digital monitoring system has a tracking one. The function of the target. By using the tracking software 14 to set the range of the image to be taken and the color range of the target to be tracked, the user can achieve the purpose of tracking the target. It will be apparent from the above-described preferred embodiments of the present invention that the application of the present invention has the following advantages. ~ - The monitoring system of the present invention has a tracking software and thus has the function of tracking-targeting, thereby making it difficult for the target to escape the monitoring range of the monitoring system. 2. The monitoring system of the present invention has a tracking software attached to the conventional digital monitoring system in an external manner, so that the digital monitoring system has the function of tracking the target. - The monitoring system of the present invention has the function of tracking a human face, and the captured face contains more faces of the subject's face, making the result more valuable. Although the present invention has been disclosed in a preferred embodiment as described above, it is not intended to limit the invention to any skilled person in the art, and does not depart from the scope of the invention. Retouching, therefore, the protection of the present invention is subject to the scope defined by the patent scope. BRIEF DESCRIPTION OF THE DRAWINGS In order to make the above and other objects of the present invention 'features, advantages and embodiments b obvious, the detailed description of the drawings is as follows: 13 1314419 Figure i shows a preferred embodiment in accordance with the present invention. Example of a monitoring system block diagram. Figure 2 is a flow chart showing the image browning in accordance with the preferred embodiment of the present invention. Figure 3 is a diagram showing the setting of the operating range in accordance with the preferred embodiment of the present invention. Figure 4 depicts an image processing flow not in accordance with a preferred embodiment of the present invention.
第5圖繪示依照本發明一較佳實施例之機構控制流程 圖。Figure 5 is a flow chart showing the mechanism control in accordance with a preferred embodiment of the present invention.
【主要元件符號說明】 :監視系統 U :電腦 12·移動式攝影機 13 :控制介面 14 :追蹤軟體 141 :影像擷取模組 142 :影像處理模組 143 :機構控制模組 S21 .於一監視晝面中設定一 擁取範圍之步驟 S22:將此擷取範圍之影像擷 取成為一數位影像之步 驟 3 1 :監視晝面 32 :擷取範圍 541 ·讀入影像操取模組所擁 取到的數位影像之步驟 542 :比對數位影像之每一像 素與一人臉膚色條件式 之步驟 S43 :分離人臉膚色與非人臉 膚色所在區域之步驟 S51 . s十算人臉膚色所在區域 之左、右偏離資訊之步驟 S52.汁算人臉膚色所在區域 之上、下偏離資訊之步驟 S53 :產生一修正訊號之步驟 ΙΊ·[Main component symbol description]: Monitoring system U: Computer 12·Mobile camera 13: Control interface 14: Tracking software 141: Image capturing module 142: Image processing module 143: Mechanism control module S21. Step S22 of setting a range of capturing in the face: Step of capturing the image of the captured range into a digital image 3 1 : Monitoring face 32: capturing range 541 · Reading into the image capturing module Step 542 of the digital image: Step S43 of comparing each pixel of the digital image with a face color condition: Step S51 of separating the face color and the face of the non-human skin color. S10. Step of deviating from the right information S52. Step S53 of deciding the information above and below the area where the skin color of the human face is located: Step of generating a correction signal ΙΊ·
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