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Tracking of Hand Movements in Gesture Recognition a Review on Techniques and Approaches
Gesture recognition is a vast topic of research in computer science. It deals with creating a system that can identify human gestures and use them for different applications. In gesture recognition, a camera is used to capture human body's motions which are sent to the computer for interpreting human body language. One of the major application areas of gesture recognition is automatic sign language recognition. In sign language motion of human body parts like hands and head are very important to consider. Whenever trajectories and movements are considered, tracking plays a vital role and is essential too. Tracking helps in recognizing the motion trajectories. This paper presents literature review on research and findings by researchers on different techniques and approaches of tracking.
Keywords
Review, Tracking, Sign Language, Mean shift, Kalman Filter, Condensation, Particle Filter.
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