Abstract: The present invention discloses an intelligent traffic safety pre-warning method, a cloud server, onboard-terminals and a system. The method comprises: a step (101): the onboard-terminal establishes a communication connection with the cloud server; a step (102): the onboard-terminal acquires data, and uploads data calculated based on the acquired data to the cloud server; a step (103): the onboard-terminal receives feedbacks from the cloud server, the feedback comprising the probability that the current vehicle has an accident within a set range of the current road segment; and a step (104): the onboard-terminal receives the probability that the current vehicle has an accident within the set range of the current road segment, and then transmits the feedback to the driver by human-computer interaction.

Abstract: The present invention discloses an intelligent traffic safety pre-warning method, a cloud server, onboard-terminals and a system. The method comprises: a step (101): the onboard-terminal establishes a communication connection with the cloud server; a step (102): the onboard-terminal acquires data, and uploads data calculated based on the acquired data to the cloud server; a step (103): the onboard-terminal receives feedbacks from the cloud server, the feedback comprising the probability that the current vehicle has an accident within a set range of the current road segment; and a step (104): the onboard-terminal receives the probability that the current vehicle has an accident within the set range of the current road segment, and then transmits the feedback to the driver by human-computer interaction.

Abstract: A method for generating image frames includes setting a 3D display mode of the image frames, configuring at least one parameter of the image frames, and displaying the image frames according to the 3D display mode and the at least one parameter of the image frames. When an input command is received while displaying the image frames, the input command is determined to correspond to parameters of the image frames or not. If the input command does not correspond to parameters of image frames, the parameters of image frames are reconfigured according to the input command.

Abstract: A method for detecting a facial area on a color image includes (a) placing a search window on the color image, (b) determining if a center pixel of the search window is a skin color pixel, indicating that the search window is a possible facial area candidate, (c) applying a 3-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (d) applying a 4-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (e) if steps (b), (c), (d) all determine that the search window is a possible facial area candidate, applying an AdaBoost filter to the search window to determine if the search window is a facial area candidate, and (f) if step (e) determines that the search window is a facial area candidate, saving the location of the search window.

Abstract: A method is provided for cloning a facial feature template image into an original image including a face to form a new image. The method includes detecting the face and facial features in the original image, reducing the original and the template images, cloning the reduced template image into the reduced original image to form a new image, enlarging the new image, and displaying the enlarged new image. The method may use Poisson cloning where a resulting system of linear equations is solved by applying a Thomas algorithm to determine an initial solution and applying a Conjugate Gradient algorithm using the initial solution to determine a final solution to the system of linear equations.

Abstract: A method is provided for cloning a facial feature template image into an original image including a face to form a new image. The method includes detecting the face and facial features in the original image, reducing the original and the template images, cloning the reduced template image into the reduced original image to form a new image, enlarging the new image, and displaying the enlarged new image. The method may use Poisson cloning where a resulting system of linear equations is solved by applying a Thomas algorithm to determine an initial solution and applying a Conjugate Gradient algorithm using the initial solution to determine a final solution to the system of linear equations.

Abstract: A method for detecting a facial area on a color image includes (a) placing a search window on the color image, (b) determining if a center pixel of the search window is a skin color pixel, indicating that the search window is a possible facial area candidate, (c) applying a 3-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (d) applying a 4-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (e) if steps (b), (c), (d) all determine that the search window is a possible facial area candidate, applying an AdaBoost filter to the search window to determine if the search window is a facial area candidate, and (f) if step (e) determines that the search window is a facial area candidate, saving the location of the search window.