A Real Time Hand Tracking System for Interactive Applications

In vision based hand tracking systems color plays an important role for detection. Skin color detection is widely used in different interactive applications, e.g. face and hand tracking, detecting people in video databases. This paper implements an effective hand tracking technique which is based on color detection. In this techniques based on the color distribution the segmentation of hand from background will take place in a real time. This technique provides to main benefits: The process of tracking is fast as the segmentation process is performed simultaneously in a specified area surrounding the hand. This technique is highly robust under different lightning conditions. To check the performance of the implemented technique a number of experiments have been performed. The implemented technique will be useful in various real time interactive applications, such as gesture recognition, augmented reality, virtual reality etc.