| Patent application number | Description | Published |
|---|
| 20080306647 | IN-VEHICLE NETWORK SYSTEM AND CONTROL METHOD THEREOF - The present invention relates to an in-vehicle networks system and a method of controlling the same. The in-vehicle network system includes a first actuator and second actuators; shared sensors outputting a sensing value according to a sensing result; a first sub ECU controlling the driving of the first actuator and outputting a first sub sensing value corresponding to the sensing value from the shared sensors; a second sub ECU controlling the driving of the first actuator and outputting a second sub sensing value corresponding to the sensing value from the shared sensors; and a main ECU communicating with the first sub ECU and the second sub ECU according to a TDMA-based communication protocol, and determining that any one of the first ECU and the second ECU is abnormal in case that a difference between the first sensing value and the second sensing value is out of an error tolerance. | 12-11-2008 |
| 20090245586 | IMAGE PROCESSING APPARATUS AND METHOD FOR REAL-TIME MOTION DETECTION - An image processing apparatus and method for real time motion detection is provided. In the apparatus, a sub-sampling module receives and sub-samples a current image and a plurality of previous images and a census transform module performs census transform on each of the sub-sampled images to obtain a census vector. A correlation calculation module calculates and compares correlation values between the current image and the plurality of previous images and detects a region having highest correlation. A motion detection module tracks positions of pixels corresponding to the region having the highest correlation to detect motion information in the images. The image processing apparatus and method can obtain, in real time, the direction and speed of an object that is in motion in each image. | 10-01-2009 |
| 20100202703 | REAL-TIME FACE DETECTION APPARATUS - Disclosed herein is a real-time face detection apparatus. The real-time face detection apparatus includes a down-scaling unit and a face region comparison unit. The down-scaling unit down-scales an input image at at least one ratio. The face region comparison unit creates a plurality of windows for the image down-scaled at the at least one ratio, acquires face region confidence of each of window images within the created windows by comparing the window image with a classifier, and determines whether the window image corresponds to a face region. | 08-12-2010 |
| 20100329511 | Apparatus and method for detecting hands of subject in real time - An apparatus and method can effectively detect both hands and hand shape of a user from images input through cameras. A skin image detecting skin regions from one of the input images and a stereoscopic distance image are used. For hand detection, background and noise are eliminated from a combined image of the skin image and the distance image and regions corresponding to actual both hands are detected from effective images having a high probability of hands. For hand shape detection, a non-skin region is eliminated from the skin image based on the stereoscopic distance information, hand shape candidate regions are detected from the remaining region after elimination, and finally a hand shape is determined. | 12-30-2010 |
| 20110071674 | INTELLIGENT USER INTERFACE APPARATUS AND CONTROL METHOD FOR CONTROL OF SERVICE ROBOTS - Disclosed herein is a user interface apparatus and control method for the control of service robots. The user interface apparatus for the control of service robots includes an interaction server, an index block, and a robot control server. The interaction server receives control commands to control a service robot from a user, analyzes the control commands, and outputs the results of the analysis to the user. The index block determines the degree of difficulty of each of the analyzed control commands. The robot control server determines the operating mode of the service robot depending on the analyzed control command and the degree of difficulty, and controls the service robot in the determined operating mode. | 03-24-2011 |
