Abstract: Systems and methods for controlling an air-conditioning system based on gait recognition. The system includes a communication interface configured to receive sensor data captured of a scene by a sensor. The system further includes a storage configured to store the sensor data and a profile of registered users. The system also includes at least one processor. The at least one processor is configured to identify a human object within the sensor data. The processor is further configured to recognize gait features of the identified human object. The processor is also configured to generate a first instruction controlling the air-conditioning system based on the recognized gait features.

Abstract: A method of segmenting an object from an image includes receiving an input image including an object; generating an output image corresponding to the object from the input image using an image model; and extracting an object image from the output image.

Abstract: The present disclosure relates to a gait recognition method based on deep learning, which comprises recognizing an identity of a person in a video according to the gait thereof through dual-channel convolutional neural networks sharing weights by means of the strong learning capability of the deep learning convolutional neural network. Said method is quite robust to gait changes across a large view, which can effectively solve the problem of low precision in cross-view gait recognition existing with the prior art gait recognition technology. Said method can be widely used in scenarios having video monitors, such as security monitoring in airports and supermarkets, person recognition, criminal detection, etc.

Abstract: A human-shape image segmentation method comprising: extracting multi-scale context information for all first pixel points for training a human-shape image; sending image blocks of all scales of all the first pixel points into a same convolution neural network to form a multi-channel convolutional neural network group, wherein each channel corresponds to image blocks of one scale; training the neural network group using a back propagation algorithm to obtain human-shape image segmentation training model data; extracting multi-scale context information for all second pixels points for testing the human-shape image; sending image blocks of different scales of each of the second pixel points into a neural network channel corresponding to the human-shape image segmentation training model, wherein if said first probability is larger than said second probability, the second pixel points belong to the human-shape region, otherwise, the second pixel points are outside of the human-shape region.

Abstract: The present disclosure relates to a gait recognition method based on deep learning, which comprises recognizing an identity of a person in a video according to the gait thereof through dual-channel convolutional neural networks sharing weights by means of the strong learning capability of the deep learning convolutional neural network. Said method is quite robust to gait changes across a large view, which can effectively solve the problem of low precision in cross-view gait recognition existing with the prior art gait recognition technology. Said method can be widely used in scenarios having video monitors, such as security monitoring in airports and supermarkets, person recognition, criminal detection, etc.

Abstract: A human-shape image segmentation method comprising: extracting multi-scale context information for all first pixel points for training a human-shape image; sending image blocks of all scales of all the first pixel points into a same convolution neural network to form a multi-channel convolutional neural network group, wherein each channel corresponds to image blocks of one scale; training the neural network group using a back propagation algorithm to obtain human-shape image segmentation training model data; extracting multi-scale context information for all second pixels points for testing the human-shape image; sending image blocks of different scales of each of the second pixel points into a neural network channel corresponding to the human-shape image segmentation training model, wherein if said first probability is larger than said second probability, the second pixel points belong to the human-shape region, otherwise, the second pixel points are outside of the human-shape region.

Abstract: A method of segmenting an object from an image includes receiving an input image including an object; generating an output image corresponding to the object from the input image using an image model; and extracting an object image from the output image.

Abstract: A shape classification method based on the topological perceptual organization (TPO) theory, comprising steps of: extracting boundary points of shapes (S1); constructing topological space and computing the representation of extracted boundary points (S2); extracting global features of shapes from the representation of boundary points in topological space (S3); extracting local features of shapes from the representation of boundary points in Euclidean space (S4); combining global features and local features through adjusting the weight of local features according to the performance of global features (S5); classifying shapes using the combination of global features and local features (S6). The invention is applicable for intelligent video surveillance, e.g., objects classification and scene understanding. The invention can also be used for the automatic driving system wherein robust recognition of traffic signs plays an important role in enhancing the intelligence of the system.

Abstract: A shape classification method based on the topological perceptual organization (TPO) theory, comprising steps of: extracting boundary points of shapes (S1); constructing topological space and computing the representation of extracted boundary points (S2); extracting global features of shapes from the representation of boundary points in topological space (S3); extracting local features of shapes from the representation of boundary points in Euclidean space (S4); combining global features and local features through adjusting the weight of local features according to the performance of global features (S5); classifying shapes using the combination of global features and local features (S6). The invention is applicable for intelligent video surveillance, e.g., objects classification and scene understanding. The invention can also be used for the automatic driving system wherein robust recognition of traffic signs plays an important role in enhancing the intelligence of the system.

Abstract: A square micro-cavity laser with an output waveguide comprises: a substrate; a resonator, which has a square shape and is fabricated on the substrate; a stripe output waveguide, which is fabricated on the substrate and is connected to the midpoint of one side face of the resonator; wherein the area of the resonator or the stripe output waveguide is less than that of the substrate.

Abstract: A semiconductor laser with an equilateral triangle micro optical resonator has an output waveguide connected to the resonator for realizing directional emission, and the laser wafer structure is the slab waveguide constituted by lower cladding layer, active region and the upper cladding layer. The outer region of the equilateral triangle is etched to the lower cladding layer or substrate, while the unetched equilateral triangle region is used as the resonator, and the triangular sides serve as the reflecting mirrors. On one of the vertices or the sides of the triangle resonator connected or coupled an output waveguide can form an edge emission semiconductor laser and array having directive light emission.

Abstract: A semiconductor laser with an equilateral triangle micro optical resonator has an output waveguide connected to the resonator for realizing directional emission, and the laser wafer structure is the slab waveguide constituted by lower cladding layer, active region and the upper cladding layer. The outer region of the equilateral triangle is etched to the lower cladding layer or substrate, while the unetched equilateral triangle region is used as the resonator, and the triangular sides serve as the reflecting mirrors. On one of the vertices or the sides of the triangle resonator connected or coupled an output waveguide can form an edge emission semiconductor laser and array having directive light emission.