Abstract: The invention is related to a method of three-dimensional face reconstruction by inputting a single face image to reconstruct a three-dimensional face model, therefore, the human face image is seen at various angles of three-dimensional face through rotating the model images.

Abstract: A recycling system and a method based on deep-learning and computer vision technology are disclosed. The system includes a trash sorting device and a trash sorting algorithm. The trash sorting device includes a trash arraying mechanism, trash sensors, a trash transfer mechanism and a controller. The trash arraying mechanism is configured to process trash in a batch manner. The controller drives the trash arraying mechanism according to the signals of trash sensors and controls the sorting gates of the trash sorting mechanism to rotate. The trash sorting algorithm makes use of the images of trash, wherein the images are taken by cameras in different directions. The trash sorting algorithm includes a dynamic object detection algorithm, an image pre-processing algorithm, an identification module and a voting and selecting algorithm. The identification module is based on the convolutional neural networks (CNNs) and may at least identify four kinds of trash.

Abstract: A non-contact heartbeat rate measurement system includes an image sensor, a target region selecting module, a heartbeat signal calculating module, a spectrum analyzing module, a vibration detecting module, a heartbeat peak selecting module. When a signal quality indicator is greater than a threshold value, and a first peak with global highest signal intensity in a heartbeat spectrum is similar to a face vibration frequency, the heartbeat peak selecting module selects a second peak with local highest signal intensity from a part frequency band of the heartbeat spectrum as an output heartbeat frequency. A non-contact heartbeat rate measurement method and an apparatus are disclosed herein.

Abstract: The present invention provides a contactless-type sport training monitor method, comprising: selecting at least an image database to recognize a plurality of expressions in the image database; making pre-processing for the plurality of expressions: using a convolutional neural network as a feature point extraction model; acquiring a human image; tracking a first target region and a second target region in the human image; making chrominance-based rPPG trace extraction; using the deep level model to compare the second target region image; and to calculate a post-exercise heart rate recovery achievement ratio, to judge the Rating of Perceived Exertion, and judging whether the human body is under overtraining status or not.

Abstract: The present invention provides an image based blood pressure monitoring method, comprising: acquiring at least a human image information of at least a human skin area; according to the human image information to locate at least a ROI; extracting the human image information of the ROI, and calculate; filtering the average value of the human image information; monitoring the filtered signal; calculating an image pulse transmit time of the filtered signal, and calculating an inter-beat interval of the filtered signal; and employ the specific prediction model, to calculate a systolic pressure value and a diastolic pressure value.

Abstract: A facial expression recognition training system includes a training module, feature database, a capturing module, a recognition module and an adjusting module. The training module trains a facial expression feature capturing model according to known face images. The feature database stores known facial expression features of the known face images. The capturing module continuously captures first face images, and the facial expression feature capturing model outputs facial expression features of the first face images according to the first face images. The recognition module compares the facial expression features and the known facial expression features, and fit the facial expression features to the first known facial expression features that is one kind of the known facial expression feature accordingly. The adjusting module adjusts the facial expression feature capturing model to reduce the differences between the facial expression features and the known facial expression features.

Abstract: The present invention provides an imaging-type heart rate monitoring device and method thereof. It acquires the human image information tracks the target area in the human image information, and extracts the target image in the target area. It transforms the human image information through the first frequency domain transform. It filters the residual noise of the continuous wavelet transform information. It rebuilds the residual noise filtered information by the continuous wavelet transform. It transforms the continuous wavelet transform rebuilt information by the Fourier transform. It obtains a heart rate value through the second frequency domain transformed information.

Abstract: A monitoring system for infant includes image sensors, a face region determination module, a human face identification module, a non-contact physiological information measurement module and a physiological information determination module. The image sensors are configured to capture images consecutively. The face region determination module is configured to determine whether images include a face region. When not include, the face region determination module outputs a first warning information and when include, the human face identification module is configured to identify a monitored person in images to extract the historical information. The non-contact physiological information measurement module is configured to calculate color difference of each pixel of the face region, output heartbeat waveform and calculate physiological information.

Abstract: An image coding method including constructing a plurality of edge models with a Forward Discrete Cosine Transform (FDCT) algorithm; creating adjustment equations each matching one of the edge models; capturing an image comprising pixels; selecting the pixels of the image to define image blocks; detecting by block-edge detection (BED) a pattern collectively exhibited by the pixels in the each of the image blocks and then comparing the detected pattern with patterns of the edge models; changing the patterns of the image blocks to the patterns of the edge models and adjusting the dominating coefficient by the adjustment factor after determining that the patterns of the image blocks approximate to the patterns of the edge models; and performing a coding process on the edge models by LLEC to generate a compressed image corresponding to the edge models. An embedded system is applicable to the image coding method.

Abstract: A license plate recognition system and method recognizes a license plate attached to a vehicle and bears a license plate number. The system includes a database module, a reducing module, an image capturing unit, a sorting unit, and a recognizing module. The database module stores license plate position sample type-related data and license plate number sample type-related data whose quantity is reducible by the reducing module. The image capturing unit captures license plate images at different imaging resolutions to generate license plate position image eigenvalue and license plate number image eigenvalue. The sorting unit computes the license plate position image eigenvalue to generate license plate position type-related data and computes the license plate number image eigenvalue to generate license plate number type-related data. The recognizing module compares the license plate number type-related data with the license plate number sample type-related data, thereby recognizing the license plate number.

Abstract: An image coding method including constructing a plurality of edge models with a Forward Discrete Cosine Transform (FDCT) algorithm; creating adjustment equations each matching one of the edge models; capturing an image comprising pixels; selecting the pixels of the image to define image blocks; detecting by block-edge detection (BED) a pattern collectively exhibited by the pixels in the each of the image blocks and then comparing the detected pattern with patterns of the edge models; changing the patterns of the image blocks to the patterns of the edge models and adjusting the dominating coefficient by the adjustment factor after determining that the patterns of the image blocks approximate to the patterns of the edge models; and performing a coding process on the edge models by LLEC to generate a compressed image corresponding to the edge models. An embedded system is applicable to the image coding method.

Abstract: A license plate recognition system and method recognizes a license plate attached to a vehicle and bears a license plate number. The system includes a database module, a reducing module, an image capturing unit, a sorting unit, and a recognizing module. The database module stores license plate position sample type-related data and license plate number sample type-related data whose quantity is reducible by the reducing module. The image capturing unit captures license plate images at different imaging resolutions to generate license plate position image eigenvalue and license plate number image eigenvalue. The sorting unit computes the license plate position image eigenvalue to generate license plate position type-related data and computes the license plate number image eigenvalue to generate license plate number type-related data. The recognizing module compares the license plate number type-related data with the license plate number sample type-related data, thereby recognizing the license plate number.

Abstract: The present invention discloses a vehicle tracking system and method, and the tracking method comprises the steps of capturing a bright object from an image by the bright object segmentation; labeling the bright object by a connected component labeling method and forming a connected component object; identifying, analyzing and combining the characteristics of the connected component object to form a lamp object by the bright object recognition; tracking the trajectory of the lamp object by a multi-vehicle tracking method; and identifying the type of a vehicle having the lamp object by the vehicle detection/recognition and counting the number of various vehicles.

Abstract: A driving behavior analysis and warning system is adapted to detect the driving behavior of a driver driving an automobile and to provide a warning signal corresponding to the driving behavior. The analysis and warning system receives drive information captured by an external and/or an internal drive system via an information collection unit, and analysis module integrated with a algorithm is then used to analyze the drive information to produce drive safety signals, enabling the driver to determine whether driver driving behavior is normal or not through an output unit, so as to prevent injury caused by dangerous driving. Moreover, this invention also provides a method for analyzing and warning driving behavior.

Abstract: An intelligent driving recording and inspection system is introduced for recording a car's driving process and for a user to review the driving process in an intelligent manner. The system includes an image-capture unit for capturing image signals in the driving process; a sensing unit for generating event signals corresponding to all events encountered in the driving process, such as lane departure, close distance from a preceding car, changes in gravity sensing, and abnormalities shown in inside-car driving data; a processing unit for linking the event signals with and marking the same on corresponding image signals; a memory unit for storing the image signals and the event signals; and a inspection unit for a user to review the stored image signals marked with the event signals. Therefore, any event occurred in the driving process can be easily analyzed by reviewing the image signals having corresponding event signal marked thereon.

Abstract: The invention relates to a method for image processing, which can be used to calibrate the background quickly. When the external environment is changed due to the switch of light, the color of background is calibrated quickly, and the background can be updated together. The method not only is used to update the background, but also can be used to eliminate the convergence of background again.

Abstract: A parking assistance system (PAS) comprising an image capture device, a display device and an image analysis device is provided, wherein the image capture device captures a rear parking image of a car and the image analysis device analyses the parking image to determine an initial line, two side lines and an auxiliary line in the parking image. The image analysis device determines a first reference point according to a specific position on the car, a second reference point according to an interval of the initial line between the two side lines, a third reference point according to an interval of the auxiliary line between the two side lines and a recommended parking path according to these reference points, and transmits the parking image and the recommended parking path to the display device, such that the parking image and the recommended parking path are superimposed to be displayed on the display.

Abstract: The invention discloses an intelligent driving assistant system applied to a handheld device. The invention can detect more than one safety mode including lane departure detection, lost-cargo detection, detecting front-object under driving condition, detecting side-object under driving condition and detecting back-object under driving condition, also the invention can mention alarm according to the detection results from different modules. Finally the invention can store the real-time image according to the detection results from different modules, and then transfer the related information to other places for real-time notice with matching the information from the GPS system and the digitized map.

Abstract: The invention relates to a method for image processing. First, establish the initial image background information. And retrieve the instant image information. Then calculate the initial image background information and color intensity information of the instant image. Furthermore, adjust the instant image information. Then calculate the moving-object information. Finally, track the moving-object information. It can improve the accuracy rate of detection without the influence of erected height.

Abstract: The present invention provides a method and system for transmitting and receiving vehicle information, in which a wireless transmitting and receiving unit and a vehicle computer recording a first information is disposed in the vehicle, and a processing computer is disposed in a vehicle station. When the vehicle enters the vehicle station, the vehicle wirelessly transmits the first information to the processing computer according to a request signal. After that, the processing computer wirelessly transmits a second information to the vehicle computer at a specific time point. By means of the method and system of the present invention, it is capable of exchanging information between the vehicle and vehicle station in a wireless transmitting and receiving way so as to save the waiting time for maintenance and management.