Abstract: An object detection apparatus that detects an object to be detected captured in a determination image according to a feature amount of the object to be detected preliminarily learned by the use of a learning image, the object detection apparatus including a detector 2 causing strong classifiers 21m to operate in order of lower classification accuracy, continuing processing when the strong classifier 21m has determined that the object to be detected is captured in the determination image, and determining that the object to be detected has not been detected without causing the strong classifier 21m having classification accuracy higher than the aforementioned strong classifier 21m to operate, when the strong classifier 21m has determined that the object to be detected is not captured in the determination image, wherein the strong classifier 21m inputs a classification result of the strong classifier 21m having classification accuracy lower than the aforementioned strong classifier 21m and determines whether the

Abstract: An image processing device includes: processing pixel group determination unit that determines a to-be-processed pixel group from a plurality of frame images of picture signals input based on a first predetermined rule and that determines a processed pixel group from the processed frame image stored based on a second predetermined rule; frequency component processing unit that extracts at least a temporal frequency component from the to-be-processed pixel group and the processed pixel group, that executes predetermined coefficient processing on a temporal high-frequency component of the temporal frequency component and that acquires the executed to-be-processed pixel group; processing completion frame generation unit that generates a processing completion frame image from the executed to-be-processed pixel group; and image output unit that outputs the processing completion frame image and that stores the processing completion frame image in the processed frame storage unit, in which the frequency component pr

Abstract: A chemical sampling system includes a direct analysis in real time (DART) device and an atmospheric pressure photoionization (APPI) device positioned proximate the DART device. Another chemical sampling system includes the APPI device positioned proximate to a thermal desorption device.

Abstract: A cryptographic calculation includes obtaining a point P(X,Y) from a parameter t on an elliptical curve Y2=f(X); and from polynomials X1(t), X2(t), X3(t) and U(t) satisfying: f(X1(t))·f(X2(t))·f(X3(t))=U(t)2 in Fq, with q=3 mod 4. Firstly a value of the parameter t is obtained. Next, the point P is determined by: (i) calculating X1=X1(t), X2=X2(t), X3=X3(t) and U=U(t); (ii) if the term f(X1)·f(X2) is a square, then testing whether the term f(X3) is a square in Fq and if so calculating the square root of f(X3) in order to obtain the point P(X3); (iii) otherwise, testing whether the term f(X1) is a square and, if so, calculating the square root of f(X1) in order to obtain the point P(X1); (iv) otherwise, calculating the square root of f(X2) in order to obtain the point P(X2). This point P is useful in a cryptographic application.

Abstract: A cryptographic calculation includes obtaining a point P(X,Y) from a parameter t on an elliptical curve Y2=f(X) and from polynomials satisfying: ?f(X1(t))·f(X2(t))=U(t)2 in the finite body Fq, irrespective of the parameter t, q=3 mod 4. A value of the parameter t is obtained and the point P is determined by: (i) calculating X1=X1(t), X2=X2(t) and U=U(t); (ii) testing whether the term f(X?1) is a squared term in the finite body Fq and, if so, calculating the square root of the term f(X1), the point P having X1 as abscissa and Y1, the square root of the term f(X1), as ordinate; (iii) otherwise, calculating the square root of the term f(X2), the point P having X2, as abscissa and Y2, the square root of the term f(X2), as ordinate. The point P is useful in encryption, scrambling, signature, authentication or identification cryptographic applications.

Abstract: A database comprising biometric data stored in encrypted form is managed by a management unit. It comprises a set of filters respectively associated with filter identifiers. A biometric data item is received at a management unit; next, said biometric data item is stored in an encrypted form at a given address in the database. Then keywords are obtained on the basis of a first set of hash functions and of the biometric data item. A subset of indexing filters is associated with each keyword by selecting, for each keyword, filters as a function of the respectively associated filter identifiers, of said keywords, and of a second set of hash functions; and the given address is associated with each of the filters of the subset of filters.

Abstract: The invention relates to a telecommunications chip card for carrying personalization data for connection to at least a mobile telecommunications network, said telecommunications chip card further comprising: means for receiving a dialed telephone number from a first wireless terminal coupled to a first network, wherein said first wireless terminal is adapted for initiating a call between said first wireless terminal and a second wireless terminal, wherein said dialed telephone number belongs to said second wireless terminal; means for obtaining a geographic location of said first wireless terminal; —means for fetching an access point address from a look-up table according to said geographic location, wherein said look-up table is stored in said telecommunications chip card, wherein said access point address belongs to an access point coupled to a second network and within said geographic location, wherein said second network is coupled to said first network; means for initiating a connection with said access

Abstract: An object detection apparatus that detects an object to be detected captured in a determination image according to a feature amount of the object to be detected preliminarily learned by the use of a learning image, the object detection apparatus including a detector causing strong classifiers to operate in order of lower classification accuracy, continuing processing when the strong classifier has determined that the object to be detected is captured in the determination image, and determining that the object to be detected has not been detected without causing the strong classifier having classification accuracy higher than the aforementioned strong classifier to operate, when the strong classifier has determined that the object to be detected is not captured in the determination image, wherein the strong classifier inputs a classification result of the strong classifier having classification accuracy lower than the aforementioned strong classifier and determines whether the object to be detected is captured

Abstract: A smart card has an electronic module and a card body carrying the module. The smart card includes a card body provided with a cavity and an electronic module having at least one portion presenting thickness that is less than the thickness of the card body. The electronic module is housed in the cavity and is secured to the card body. At least one through hole passes in succession through the portion of the module that presents a thickness that is less than the thickness of the card body, and through the card body.

Abstract: The invention relates to a registration method for future biometric verification purposes, including the following steps for one person (I): obtaining first biometric data (4) and second biometric data (5) relating to said person; obtaining alphanumerical data (a) including at least one identifier relating to said person; storing, in a first biometric database (1), the thus-obtained first biometric data in association with a decryption key (6); storing, in a correspondence table (T), first information from the thus-obtained second biometric data and alphanumerical data in correspondence with an index (j); storing, in a second database (2), second information from the thus-obtained second biometric data and alphanumerical data in association with a version (J) of said index that is encrypted with an encryption key corresponding to said decryption key, said second information being different from the first information.

Abstract: A detection system assembly is provided. The detection system assembly includes a detector system including a housing having a sample port configured to receive a sample of an unknown substance, a detector assembly in flow communication with the sample port, and a pump in flow communication with the detector assembly. The detection system assembly further includes a dryer cartridge removably coupled to an outer surface of the housing of the detector system. The dryer cartridge is in flow communication with the pump and the detector assembly.

Abstract: An access control system (10) comprises a server (12) suitable for controlling access; a biometric signal sensor (11); and an interface device (13) suitable for hooking up with the server and with the sensor, access being authorized to a person associated with a reference signal. The server and the interface device manage a common parameter that takes different values over time, and, respectively a first and a second non-invertible transformation function, these functions being parameterized as a function of the common parameter. The sensor senses a biometric signal and provides it to the interface device. At the interface device level, a transformed biometric signal is obtained by applying the first function to an element from the group comprising a characteristic emanating from the sensed signal and the sensed signal, then transmitted (14) to the server.

Abstract: A cryptographic calculation is executed in an electronic component, according to a cryptographic algorithm including at least one application of a one-way function which is disabled upon an intrusion into the electronic component. The one-way function is based on a first affine operation corresponding to a first secret key. The one-way function is applied, by obtaining (11) first and second random values (r, r?), then, by obtaining a first result (13) by applying a second affine operation (?K1), which corresponds to a second secret key, to a first combination (12) of the first and second random values, and, by obtaining (14) thereafter a second result by applying a third affine operation (?K2) which corresponds to a third secret key to said first result.

Abstract: An image processing device that accumulatively generates a synthetic image by joining a first image, which is a single image or is constituted by a plurality of the images joined together, and a second image that is input, every time when the second image is input, the device comprising: a center-position obtainment portion (11) that obtains position information on a first center point being a center point of each of the images constituting the first image and position information on a second center point being a center point of the second image; and a synthetic image generation portion (12) that obtains the first center point of an image overlapping the second image among the images constituting the first image, and that joins the first image and the second image to generate the synthetic image, using perpendicular bisectors between the obtained first center points and the second center point as a joint between the first image and the second image, based on the obtained position information on the first cent

Abstract: An image data processing method for creating a clear blur-compensated image; the method calculates the motion data between a reference image and a target image, calculates difference in pixel value between the reference image and the target image for every block matched by the motion data, calculates, based on the difference in pixel value, the blending ratio between the reference image and the target image for each block, and creates a synthesized image by synthesizing the reference image and the target image according to the motion data and the blending ratio. An image processing apparatus implementing the image data processing method noted above is also disclosed.

Abstract: An image processing device that performs image processing on a composite image obtained by merging a first image and a second image having different exposure conditions. A data acquiring unit acquires the composite image and region data indicating a target region of the composite image. A image processing unit performs different image processes between the target region and a region other than the target region based on the region data. The images include a region on which a moving subject is rendered. In the region on which the moving subject is rendered, the composite image is generated by using a pixel value of one of the first image and the second image. The region data represents one or a plurality of regions generated based on the region of the composite image, on which the moving subject is rendered, as the target region.

Abstract: A nuclear quadrupole resonance (NQR) sensor assembly includes an active sensor coil configured to transmit radiofrequency (RF) signals to an object of interest and receive return RF signals from the object of interest to generate sensor signals substantially representative of the return signals. The at least one reference coil is configured to receive environmental RF signals to generate reference signals at least partially representative of the environmental RF signals. The at least one reference coil is co-located with the active sensor coil. The active sensor coil and the at least one reference coil are in communication with a correction unit configured to remove interference components from the sensor signals using the reference signals.

Abstract: In a control system comprising control device adapted for, on the one hand, receiving signal indicating a first biometric datum (W), and, on the other hand, obtaining a second biometric datum captured (w?), at the level of the control device, the first and second biometric date are compared. Next, it is decided whether the first and second biometric data correspond on the basis of the comparison. Thereafter, at least a secret cryptographic key part (H(w)) is generated by applying cryptographic function to the first biometric datum.

Abstract: The method comprises, in an electronic component, carrying out a cryptographic calculation that includes the step of obtaining points P on an elliptic curve following the equation Y2+a1XY+a3Y=X3+a2X2+a4+X+a6 (1) where a1, a2, a3, a4 et a6 are elements of a set A of elements; where A is a ring of modular integers Z/qZ where q is a positive integer resulting from a number I of different prime numbers strictly higher than 3, I being an integer higher than or equal to 2, where A is a finite body Fq with q the power of a prime integer; where X and Y are the coordinates of the points P and are elements of A. The method comprises determining a diameter (11), and obtaining the coordinates X and Y of a point P (13) by applying a function (12) to said parameter. The Euler function ? of A corresponds to the equation ?(A) mod 3=1.

Abstract: A control entity communicates with an entity to be controlled so as to effect a control, a secret key being associated with the control entity. These entities share public parameters, a second public parameter being a combination of a first public parameter of the said plurality with the secret key. At the level of the entity to be controlled, a random value is generated, a first message is transmitted to the control entity, this first message comprising at least one value obtained by combining the first public parameter with the random value; and a second message is transmitted to the control entity, this second message comprising at least one value obtained by combining the first random value, a secret key of the entity to be controlled and a value received from the control entity. One of the values included in the first or the second message is based on the second public parameter.