Recognizing fast moving objects at normal human perception rate

Human visual system has limits as compared to machine based visual systems. Time required for understanding a scene from surroundings is one of them. Due to which fast moving objects become invisible to human eye. In this paper a technique has been proposed which helps the human beings to see fast moving objects. The idea is to put all the information from some of the previous frames to a single frame. The number of frames from which information is going to be extracted depends upon defined parameter. The video sequences that are recorded using high speed cameras are collected and proposed algorithm is applied to these video sequences. Experimental results show the improvement in recognizing the fast moving objects.