Abstract: A moving object detection method includes acquiring two depth image frames including depth information, which are obtained by continuously taking images of a moving object, the two depth image frames including a present depth image frame and at least one past depth image frame; dividing each of the two depth image frames into a plurality of blocks; calculating differences between numbers of pixels positioned in respective different depth areas in each of the plurality of blocks in the present depth image frame, and numbers of pixels positioned in respective different depth areas in each of the corresponding plurality of blocks in each of the at least one past depth image frame, which correspond to the plurality of blocks in the present depth image frame; and detecting a moving block in the present depth image frame based on the calculated difference and constituting the detected moving object.

Abstract: A method for detecting a front vehicle comprises: a moving light detecting step of detecting a front moving light area of an own vehicle in at least one image of a front scene of the own vehicle obtained at a time; a vehicle candidate generating step of extracting a light area pair from the detected front moving light area so that a front vehicle candidate is generated; and a vehicle candidate verifying step of verifying that the front vehicle candidate is the front vehicle in cases where the front vehicle candidate meets predetermined characteristics of a vehicle light.

Abstract: Disclosed is a processing method used in a video conference system having a local terminal device and at least one remote terminal device, comprising a feature detection step of carrying out a feature detection in the local terminal device and the remote terminal device, respectively; a conference mode setting step of setting a conference mode for the local terminal device and the remote terminal device, respectively; and a video encoding step of dividing a video frame in the local terminal device and the remote terminal device, and then pre-processing the divided areas so as to encode the pre-processed areas, respectively.

Abstract: A method for detecting a front vehicle comprises: a moving light detecting step of detecting a front moving light area of an own vehicle in at least one image of a front scene of the own vehicle obtained at a time; a vehicle candidate generating step of extracting a light area pair from the detected front moving light area so that a front vehicle candidate is generated; and a vehicle candidate verifying step of verifying that the front vehicle candidate is the front vehicle in cases where the front vehicle candidate meets predetermined characteristics of a vehicle light.

Abstract: Disclosed are a method and a device for detecting traffic signs in an input image camera. The method comprises a color space converting step of converting the input image into a HSV color space image; a filtering step of filtering, based on a predetermined pass range of a standard color of each of the traffic signs, the HSV color space image to obtain a filtered image, and then generating one or more connected domains based on one or more regions in the filtered image; a removing step of removing, based on a standard rule of the corresponding traffic sign, at least one of the generated connected domains, not being the corresponding traffic sign, and letting others of the generated connected domains be candidate traffic sign domains; and a recognition step of recognizing, based on a feature of each of the candidate traffic sign domains, the corresponding traffic sign.

Abstract: Disclosed is a processing method used in a video conference system having a local terminal device and at least one remote terminal device, comprising a feature detection step of carrying out a feature detection in the local terminal device and the remote terminal device, respectively; a conference mode setting step of setting a conference mode for the local terminal device and the remote terminal device, respectively; and a video encoding step of dividing a video frame in the local terminal device and the remote terminal device, and then pre-processing the divided areas so as to encode the pre-processed areas, respectively.