Abstract: A facial tracking method for detecting and tracking at least one face image in a region during a time period. The facial tracking method includes a step of performing an image acquiring operation, a step of performing a facial detecting operation to detect whether there is any face image in the entire of a current photo image, and at least one step of performing a facial tracking operation. For performing the facial tracking operation, plural tracking frames are located around a face image of the current photo image, and a similarity between the face image of the current photo image and the image included in each tracking frame in order to judge whether the face image exists in the next photo image. By the facial tracking method of the present invention, the time period of tracking face images is largely reduced.

Abstract: A facial tracking method for detecting and tracking at least one face image in a region during a time period. The facial tracking method includes a step of performing an image acquiring operation, a step of performing a facial detecting operation to detect whether there is any face image in the entire of a current photo image, and at least one step of performing a facial tracking operation. For performing the facial tracking operation, plural tracking frames are located around a face image of the current photo image, and a similarity between the face image of the current photo image and the image included in each tracking frame in order to judge whether the face image exists in the next photo image. By the facial tracking method of the present invention, the time period of tracking face images is largely reduced.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure. A method for performing a currency type analysis operation on an image corresponding to at least a monetary banknote is provided. The method includes respectively assigning a plurality of bit values to a plurality of currency types to create a currency type definition table, performing a color analysis operation on the image to generate a color analysis operation result, and determining a currency type of the monetary banknote according to the color analysis operation result and the currency type definition table.

Abstract: A protection method for preventing a hard copy of a document from being released or reproduced is provided. The protection method comprises: selecting a pattern with a closed contour line and utilizing a level set method to process the pattern to generate at least a watermark; and embedding the watermark into the document. In addition, the protection method can further comprise: detecting the hard copy of the document to determine whether at least a watermark exists in the hard copy of the document; and forbidding releasing or reproducing the document when the watermark is detected in the hard copy of the document.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure.

Abstract: A system and a method are provided for generating a control instruction by using an image pickup device to recognize a user's posture. An electronic device is controlled according to different composite postures. Each composite posture is a combination of the hand posture, the head posture and the facial expression change of the user. Each composite posture indicates a corresponding control instruction. Since the composite posture is more complex than peoples' habitual actions, the possibility of causing erroneous control instruction from unintentional habitual actions of the user will be minimized or eliminated.

Abstract: A color processing method for identification of areas within an image corresponding to monetary banknotes includes dividing the image into a plurality of sections; extracting color histogram data for each section; assigning a color vector for each section according to the color histogram data for the section; comparing the color vector for each section to a color lookup table to determine a probability of the section corresponding to monetary banknotes; and selecting probable sections having the probability exceeding a first predetermined threshold.

Abstract: A method for characterizing texture of areas within an image corresponding to monetary banknotes includes dividing the image into a plurality of sections; calculating a gray level for each section; selecting potential sections from the sections, the potential sections having gray levels within a predetermined range; selecting bill sections from the potential sections, the bill sections having pixels within a predefined color range and a predefined continuous color gradient range; generating a binary edge map according to gray levels of pixels within the bill sections; and calculating a texture value for each bill section according to the binary edge map.

Abstract: A method for performing a color analysis operation on an image corresponding to at least a monetary banknote is provided. The method comprises: dividing the image into a plurality of blocks; performing a block analysis operation on each block of the image to generate a block analysis result of each block; performing a super-block analysis operation on each super-block of the image to generate a super-block analysis result of each super-block, wherein each super-block includes more than one block; and performing a global analysis operation on the image to identify a currency type of the monetary banknote according to super-block analysis results of super-blocks of the image.

Abstract: Verification of areas within an image corresponding to banknotes includes dividing the image into a plurality of image sections; generating a banknote boundary map having border sections corresponding to a boundary of monetary banknotes within the image; generating a texture decision map having texture sections within a valid range according to a valid monetary banknote; determining a number of objects in the texture decision map by removing texture sections in the texture decision map that correspond to the border sections in the banknote boundary map; calculating a texture property value for each object; calculating a shape property value for each object; and further removing texture sections from the texture decision map corresponding to objects that do not have the texture property value within a first predetermined range and the shape property value within a second predetermined range.

Abstract: A method for detecting a boundary of a monetary banknote within an image includes dividing the image into a plurality of sections; generating a color feature map containing color histogram data for each section of the image; generating a gray level feature map indicating a gray level value for each section of the image; recording border sections onto a banknote boundary map, the border sections being sections having color histogram data within a first predetermined range and gray level values within a second predetermined range; removing internal border sections enclosed by perimeter border sections from the banknote boundary map; and dilating the perimeter border sections on the banknote boundary map.

Abstract: A method for verifying areas within an image corresponding to monetary banknotes includes: dividing the image into a plurality of verification sections; generating a banknote boundary map having border sections corresponding to boundaries of valid monetary banknotes; generating a texture decision map from the image having texture sections each having texture values within a valid range according to a valid monetary banknote, determining objects in the texture decision map by removing texture sections in the texture decision map corresponding to border sections in the banknote boundary map; calculating a texture property value for objects according to texture feature values for each verification section; calculating shape property values for each object; and further removing texture sections from the texture decision map corresponding to objects that do not have the texture property value within a first predetermined range and the shape property value within a second predetermined range.

Abstract: A method for performing a color analysis operation on an image corresponding to at least a monetary banknote is provided. The method comprises: dividing the image into a plurality of blocks; performing a block analysis operation on each block of the image to generate a block analysis result of each block; performing a super-block analysis operation on each super-block of the image to generate a super-block analysis result of each super-block, wherein each super-block includes more than one block; and performing a global analysis operation on the image to identify a currency type of the monetary banknote according to super-block analysis results of super-blocks of the image.

Abstract: A protection method for preventing a hard copy of a document from being released or reproduced is provided. The protection method comprises: selecting a pattern with a closed contour line and utilizing a level set method to process the pattern to generate at least a watermark; and embedding the watermark into the document. In addition, the protection method can further comprise: detecting the hard copy of the document to determine whether at least a watermark exists in the hard copy of the document; and forbidding releasing or reproducing the document when the watermark is detected in the hard copy of the document.

Abstract: A method for performing a currency value analysis operation on an image corresponding to at least a monetary banknote includes respectively assigning a plurality of bit values to a plurality of currency types and a plurality of currency values to create a currency type and value definition table; performing a color analysis operation on the image to generate a color analysis operation result; and determining a currency value of the monetary banknote according to at least the color analysis operation result and the currency type and value definition table.

Abstract: A method for detecting an image corresponding to at least a monetary banknote is provided. The method includes selecting a detection procedure from a plurality of different detection procedures, and verifying the image according to the selected detection procedure. A method for performing a currency type analysis operation on an image corresponding to at least a monetary banknote is provided. The method includes respectively assigning a plurality of bit values to a plurality of currency types to create a currency type definition table, performing a color analysis operation on the image to generate a color analysis operation result, and determining a currency type of the monetary banknote according to the color analysis operation result and the currency type definition table.

Abstract: A method for verifying areas within an image corresponding to monetary banknotes includes: dividing the image into a plurality of verification sections; generating a banknote boundary map having border sections corresponding to boundaries of valid monetary banknotes; generating a texture decision map from the image having texture sections each having texture values within a valid range according to a valid monetary banknote, determining objects in the texture decision map by removing texture sections in the texture decision map corresponding to border sections in the banknote boundary map; calculating a texture property value for objects according to texture feature values for each verification section; calculating shape property values for each object; and further removing texture sections from the texture decision map corresponding to objects that do not have the texture property value within a first predetermined range and the shape property value within a second predetermined range.

Abstract: A color processing method for identification of areas within an image corresponding to monetary banknotes includes dividing the image into a plurality of sections; extracting color histogram data for each section; assigning a color vector for each section according to the color histogram data for the section; comparing the color vector for each section to a color lookup table to determine a probability of the section corresponding to monetary banknotes; and selecting probable sections having the probability exceeding a first predetermined threshold.

Abstract: A method for detecting a boundary of a monetary banknote within an image includes dividing the image into a plurality of sections; generating a color feature map containing color histogram data for each section of the image; generating a gray level feature map indicating a gray level value for each section of the image; recording border sections onto a banknote boundary map, the border sections being sections having color histogram data within a first predetermined range and gray level values within a second predetermined range; removing internal border sections enclosed by perimeter border sections from the banknote boundary map; and dilating the perimeter border sections on the banknote boundary map.