A Study on Motion Estimation

The proliferation of high powered computers, the availability of high quality & inexpensive video cameras & the increasing need for automated video analysis has generated a great deal of interest in object tracking. In this regard object tracking based on Motion Estimation which is a popular technique for computing the displacement vectors between object and motion capture. Motion is very important feature of image sequences. Motion estimation is a challenging and fundamental problem of computer vision and it is demanding field among researchers. With the recent advances in video technology, there is rapid increasing need for a more reliable, efficient and robust for video processing and its analysis. The most general and challenging version of motion estimation is to compute an independent estimate of motion at each pixel, which is generally known as optical or optic flow. In this paper we have provided overview of some basic concepts behind motion estimation, block matching algorithm and optical flow. KeywordsBlock Matching algorithm, Motion Estimation, Optical Flow.