Se-Kee Kil

Design and implementation of real-time security guard robot using CDMA networking

Progression of a mobile robot and communication techniques enables intelligent robot to be developed more versatilely. Through the ubiquitous robot control, paradigm of robot which performs specific tasks remotely has changing into intelligent robot to perform public and individual tasks. Especially, in the robot and security industry, security guard robot provides a variety of information to user and achieves its duty through the Web interface. The communication technique for these telepresence robot takes charge of the probability of various service in the robot industry. Last year, the interface for telepresence robot has developed over the Web or RF between robots, but these system has the demerits of limited distance or geographical limit to be established Internet link. In this paper, we propose the SG-robot (security guard robot) that can be operated and conduct surveillance the environment around itself anytime/anywhere using CDMA networking. SG-robot was able to solve those problems, conduct the surveillance task and communicate with between multi SG-robot and users over the cdma2000-1x communication network efficiently

Automatic face and facial features detection

Many researches have been presented to search face region for human recognition and coding schemes. In this paper, the authors propose an automatic face and facial features detection algorithm. There are two main steps: the face region detection from an original complex image; and the facial feature extraction from the detected face region. A genetic algorithm (GA) is used to search for the face region in the background for the first step. For the facial feature, the authors propose two methods; one of them is a geometric method using peoples face information and the other is a method using Gaussian derivative filters. They obtain good experimental results for face detection, irrespective of the image size, wearing glasses and moustaches. For the two methods of detecting facial feature, the method using geometric property is faster than a Gaussian derivative filter, but the former is less exact than the latter.