Abstract: Embodiments provide a method for recognizing a traffic sign from an input image. The method may include extracting image features from the input image; modifying the image features based on a predetermined image saliency map to determine modified image features; determining a plurality of traffic sign candidates by applying an adaptive boosting algorithm on the modified image features; determining a confidence score for each traffic sign candidate by applying a support vector regression algorithm; and recognizing a traffic sign based on the confidence score for each traffic sign candidate.

Abstract: Embodiments provide a method for recognizing a traffic sign from an input image. The method may include extracting image features from the input image; modifying the image features based on a predetermined image saliency map to determine modified image features; determining a plurality of traffic sign candidates by applying an adaptive boosting algorithm on the modified image features; determining a confidence score for each traffic sign candidate by applying a support vector regression algorithm; and recognizing a traffic sign based on the confidence score for each traffic sign candidate.

Abstract: The present disclosure discloses a device and a method for measuring gas chemical solvent absorption and desorption reaction heat. The device comprises an outer casing; an metal guard inner shell; a reactor; a pressure sensor; a thermal insulation material between the outer casing and the metal guard inner shell; guard electric heaters provided respectively in an upper portion and a lower portion of an outer periphery of the metal guard inner shell; a glass fiber thermal insulation layer between the inner metal guard shell and the reactor; temperature thermocouples provided in the glass fiber thermal insulation layer; a glass fiber board provided in a lower portion of an outer periphery of the reactor; main electric heaters between the glass fiber board and the reactor; a liquid inlet pipe and a gas discharge pipe; a temperature thermistor, a liquid discharge pipe; a data acquisition board; a computer; and a power supply.

Abstract: A method or system for classifying brain signals in a BCI. The system comprises a model building unit for building a subject-independent model using labelled brain signals from a pool of subjects.

Abstract: A text detection device is provided. The text detection device may include: an image input circuit configured to receive an image; an edge property determination circuit configured to determine a plurality of edge properties for each of a plurality of scales of the image; and a text location determination circuit configured to determine a text location in the image based on the plurality of edge properties for the plurality of scales of the image.

Abstract: A method for detecting disc haemorrhages in a retinal fundus image. The method includes (a) identifying a ring-shaped region of interest in the retinal fundus image encompassing the optic disc boundary; (b) removing blood vessel regions in the identified region of interest; (c) detecting candidate disc haemorrhages from the removed blood vessels regions in the identified region of interest; and (d) screening the candidate disc haemorrhages. The detected disc haemorrhages may be used to aid in the detection of glaucoma.

Abstract: A method for determining a grade of nuclear cataract in a test image. The method includes: (1a) defining a contour of a lens structure in the test image, the defined contour of the lens structure comprising a segment around a boundary of a nucleus of the lens structure; (1b) extracting features from the test image based on the defined contour of the lens structure in the test image; and (1c) determining the grade of nuclear cataract in the test image based on the extracted features and a grading model.

Abstract: A method or system for classifying brain signals in a BCI. The system comprises a model building unit for building a subject-independent model using labelled brain signals from a pool of subjects.