REPLACEMENT OF OBJECTS IN A VIDEO FRAME USING HAND GESTURE RECOGNITION

Abstract

The main idea behind this paper  is to make human computer interaction a touch less technology. This touch less technology is applied to video inpainting technique, extracting and replacing the object in frame of video in video processing. For easy communication between human and computer some in-put output devices are designed over the years. Extensions are done in these input output devices to make the computer more intelligent and allow human to do more difficult communication with the computer. Gesture recognition is one of the extension for input output devices.Using the concept of gesture recognition, we can move finger at computer screen so that the cursor will move accordingly. The aim of this paper  is to design an application that is able to do foreground background segmentation of the object in video using real time hand gesture. Hand gestures are detected and tracked in real time to use their actions as mouse events.The user performs a gesture in front of a camera, which is linked to the computer. The picture of the gesture is then processed to identify the gesture indicated by the user. Once the gesture is identified corresponding control action assigned to the gesture is actuated. The goal and objective is to extract and replace the objects by the other objects at the foreground background of the frame in video processing. All this is done through the dynamic hand gestures.