Abstract: A detached-type temperature indicator and method for using the same is disclosed. The indicator includes a temperature sensing module and a temperature display module. These two modules are separated apart with a distance, and the temperature change sensed by the temperature sensing module can be displayed on the separate temperature display module without using any power sources. This indicator is suitable for observing the magnetic sensing patterns which reflect the temperature variations within the package from the exterior of the package without opening the package. Also, this indicator may be used repeatedly.

Abstract: A system, method, and apparatus provide the ability to reconstruct an image from an object. A hand-held image acquisition device is configured to acquire local image information from a physical object. A tracking system obtains displacement information for the hand-held acquisition device while the device is acquiring the local image information. An image reconstruction system computes the inverse of the displacement information and combines the inverse with the local image information to transform the local image information into a reconstructed local image information. A display device displays the reconstructed local image information.

Abstract: A method and a system for recognizing at least one testing image according to classes are provided, wherein each of the classes includes sample images. The method includes generating an average image of each class according to the sample images, generating a feature enhancement mask according to differences between the average images of the classes, enhancing the sample images of each class by using the feature enhancement mask to generate a plurality of enhanced sample images corresponding to each class, and training a classifier according to the enhanced sample images of each class. The method also includes enhancing the at least one testing image by using the feature enhancement mask to generate an enhanced testing image, classifying the enhanced testing image into one of the classes by using the classifier, and recognizing that the testing image belongs to the classified class. Thereby, this method can effectively recognize the testing image.

Abstract: There are provided a TFT array substrate and a liquid crystal display. The TFT array substrate includes: a substrate with a peripheral wiring area set on it; a transparent conductive layer disposed in the peripheral wiring area, which includes a plurality of first conductive layer areas and a plurality of second conductive layer areas; and a protective layer disposed under the plurality of first conductive layer areas. A top surface of the conductive layer in the plurality of first conductive layer areas is located in the same plane in parallel with the substrate.

Abstract: A method and a system for integrating multiple camera images to track a vehicle are provided. In the method, a security request of a vehicle to be tracked is received from a user, in which the security request comprises registration information and position information of the vehicle. Next, images captured by multiple cameras in a specific range around a location of the position information are retrieved. The retrieved images are analyzed according to the registration information, so as to recognize the images comprising the vehicle. Finally, a message is issued when the images comprising the vehicle are recognized.

Abstract: A system and a method for detecting multi-level intrusion events are provided. The system includes an area recognition module and an area classification module. The area recognition module performs a geometric topology operation to recognize a plurality of areas in a ground plane that has a plurality of boundaries and a plurality of gates, and each of the areas is constituted of at least one of the boundaries and at least one of the gates. The area classification module defines a plurality of security levels and classifies each of the areas recognized by the area recognition module as one of the security levels. Accordingly, the system is able to automatically recognize the areas in the ground plane, set the security levels of the areas, and generate the corresponding detection areas and tripwires according to the security levels of the areas.

Abstract: A system and a method for dispatching of video recording are provided. In the method, one or more video recording servers having an available CPU utilization larger than an average CPU loading per task is found from one or more video recording servers having a task capability greater than zero. One of the found one or more video recording servers is selected to execute a video recording task whose execution status is indicated as unexecuted in a video recording task status table.

Abstract: A method and a system for recognizing at least one testing image according to classes are provided, wherein each of the classes includes sample images. The method includes generating an average image of each class according to the sample images, generating a feature enhancement mask according to differences between the average images of the classes, enhancing the sample images of each class by using the feature enhancement mask to generate a plurality of enhanced sample images corresponding to each class, and training a classifier according to the enhanced sample images of each class. The method also includes enhancing the at least one testing image by using the feature enhancement mask to generate an enhanced testing image, classifying the enhanced testing image into one of the classes by using the classifier, and recognizing that the testing image belongs to the classified class. Thereby, this method can effectively recognize the testing image.

Abstract: A system, method, and apparatus provide the ability to reconstruct an image from an object. A hand-held image acquisition device is configured to acquire local image information from a physical object. A tracking system obtains displacement information for the hand-held acquisition device while the device is acquiring the local image information. An image reconstruction system computes the inverse of the displacement information and combines the inverse with the local image information to transform the local image information into a reconstructed local image information. A display device displays the reconstructed local image information.

Abstract: A computer implemented method for recognizing license plate image, and related computer product, computer-readable recording medium, and image recognizing apparatus using the same is provided. The method includes collecting a plurality of character template images and respectively homogenizing the character template images to generate a plurality of simulated character template images based on the license plate image. The method also includes respectively generating a plurality of similarity degrees corresponding to the simulated character template images by comparing the simulated character template images with the license plate image. The method further includes estimating at least one candidate character corresponding to the license plate image and at least one candidate character position corresponding to the at least one candidate character according to the similarity degrees corresponding to the simulated character template images.

Abstract: A method and apparatus are disclosed for managing components of a secret key according to a secret sharing scheme. The disclosed secret sharing scheme divides a secret value, R, into n secret components (R1, R2, . . . , Rn) and one super component, S, in such a way that R can be computed from (i) any k or more R1 components (k<n); or (ii) S and any one component of Rl. The secret components (R1 ,R2, . . . , Rn) are distributed to a number of authorized users. A multiple threshold secret sharing scheme assigns various users in a group into one of a number of classes. Each user class has a corresponding threshold level that indicates the number of users that must come together with their assigned components to obtain access to the shared secret. The multiple threshold scheme divides the secret into n components each having an assigned threshold level (i.e., the number of such components that are required to obtain the secret).

Abstract: A system and a method for performing rapid facial recognition are provided. The rapid facial recognition system includes an image capture device, a broadcasting feature computing unit and several response recognition computing units scattered on the network. Each of the broadcasting feature computing unit and the response recognition computing units includes a feature recognition module, wherein the broadcasting feature computing unit further includes a feature extraction module and an identification module. The image capture device captures a facial image, and the feature extraction module extracts features of the facial image to generate a set of feature data that is broadcasted to the response recognition computing units. The feature recognition modules, in accordance with the set of the feature data and their classes allocated, perform distributed facial recognition for generating recognition results as a response.

Abstract: A method, a system and a computer-readable medium for reconstructing a vehicle moving path are provided. In the method, a plurality of vehicle recognition results of a plurality of first monitoring frames captured by a plurality of first type road monitors are received and compared to find at least one similar vehicle. Next, according to a disposition location of each first road monitor and the comparison result of each vehicle, at least one passing spot and a driving time that each vehicle moves between the disposition locations are estimated. Then, tracking data of at least one moving object appeared in multiple second monitoring frames captured by multiple second type road monitors disposed in the passing spots is inquired. Finally, the vehicles are compared with the tracked moving objects to find the moving object associated with each vehicle, so as to construct a complete moving path of each vehicle.

Abstract: The invention discloses a camera recalibration system and the method thereof. The camera recalibration system includes a first camera, which is to be recalibrated, for capturing image; an image processing unit comprising a storage unit for storing a first image and a second image, the second image being captured by the first camera; and a computing unit for measuring camera motion from the first image to the second image and computing calibration information corresponding to the camera motion; and a display unit for presenting the calibration information.

Abstract: The present invention discloses a driving method and a driving circuit of a liquid crystal panel, which relates to the field of liquid crystal displaying technology, and solves the problem of the ion accumulation in a TFT channel. The driving method of a liquid crystal panel according to embodiments of the present invention comprises: inputting an offset pinch-off voltage to gate scan lines of each row within a vertical blanking period between two successive frames, the offset pinch-off voltage being an original pinch-off voltage plus a predetermined voltage offset; and inputting the original pinch-off voltage to the gate scan lines at the time other than a gate turn-on time and the vertical blanking period. The embodiments of the present invention are mainly applied to the field of displaying of liquid crystal panels.

Abstract: In various embodiments, optical-imaging systems incorporate non-mechanical beam-actuation systems to facilitate the acquisition of, e.g., two- and three-dimensional images.

Abstract: Embodiments of the invention generally provide a computer system, method implemented on a computer, and computer readable medium storing instructions for defining an extension taxonomy. The computer system comprises a processor and a memory storing instructions, the instructions being executable to configure the processor to provide a selection module operable to designate a selected portion of a source document, wherein the source document comprises a set of locations and a location map for identifying each location in the set of locations; wherein each location is configured to receive text-based content and wherein the selected portion comprises at least one location in the set of locations.

Abstract: Disclosed is a tagging and path reconstruction method utilizing unique identification characteristics and the system thereof. The tagging and path reconstruction system comprises a plurality of readers for reading identification information having unique IDs, a plurality of cameras for taking object's image data, and a server. The server includes an identifying and tagging module, an interlaced fusion and identification module, and a path reconstruction module. The identifying and tagging module identifies and tags the object image data with unique IDs. The interlaced fusion and identification module filters, checks and updates the tagged object image data. The path reconstruction module recovers the tagged object image data, lets them regress to their original identity data, and reconstructs the motion path of each object.