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As cameras become cheaper and gain popularity, vision-based input devices are highly desired and may now become a feasible solution. In this paper, a vision-based virtual piano mechanism is proposed. By tacking and analyzing the motion of the fingertips, the system can detect keystrokes and play the corresponding note on a seven-key virtual piano. Experimental results show the precision and efficiency...
In this paper, we present a vision-based framework to manipulate the augmented reality (AR) objects robustly in a marker-less AR system. It is known that one of the promising ways to develop a marker-less AR system is using human's body such as hand or face for replacing fiducial markers. This paper presents a real-time method to manipulate the AR objects dynamically in a developed 3D hand coordinate...
Human, especially human-of-interest, detection and tracking is a necessary part for immersive and realistic human-computer interaction. Thus, we propose an intelligent multi-vision-based human detection and tracking system that consists of a visible camera, an infrared camera, a dynamic infrared lighting system, and a cold mirror. The system segments a human region of interest and tracks his/her motion...
In this paper, a method to control the movement of a mouse pointer using simple hand gestures and a webcam is proposed. A real-time tracking algorithm is implemented based on adaptive skin detection and motion analysis. Using the history of motion, the trajectory of the movement of the hand is drawn and then used to identify a gesture. A region of interest algorithm is proposed, in order to scale...
Gaze tracking is the complex process of detecting where a person is looking. In this paper, we present a gaze tracking system that estimates the eye gaze by using a stable reference point created through the extraction of the sclera - otherwise known as the ??whites?? of the eye.
It is a tough task to robust track face in dynamic complex environments with an active camera. A tracking method based on Bayesian probability is proposed to real-time follow-up track moving face in dynamic complex environments. At first frontal face is detected using the Adaboost face detector based on Haar-like features, and is used to initialize the tracking module. Face color feature representation...
In this paper, a real-time technique for segmenting a hand, determining hand's locations is described. The algorithm consists of two steps; the first is to location the hand area in noise condition and segment the part of hand. Then seek for angles of the fingers and location of fingertip with a novel factor determination in special OPS (optical parameter sequence). It keeps the advantages of optical...
A 3D human tracking method based on particle filter is introduced in this paper. In this method, firstly the face area of the human is extracted based on a skin model and template matching with standard human face from recorded 2-D video images. Then 2-D face positions in the video images are converted to 3-D world coordinates through the calibration parameters. Finally these 3-D position estimates...
In this paper we propose a novel approach to the detection of abandoned luggage in video surveillance. Candidates of abandoned luggage items which may pose potential security threats are first identified and localized by our proposed foreground-mask sampling technique. Our approach can deal with luggage pieces of arbitrary shape and color without the need for prior learning, and it works well under...
One of the long-term goals in human-computer interaction is to utilize more intuitive and natural methods such as speech and hand gestures that a user would employ for communication. In this paper, we present a robust method of hand tracking using a probability map computed from a joint probability function derived from both depth information and skin-tone information. The depth information is provided...
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