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In this paper, we present a method to estimate the special points with the most motion in two neighbor frames. We propose a solution to determine the best illumination of either a static object, and a moving camera, either or a moving object and a static camera with two different issues: maximizing the brightness of the scene and maximizing the contrast in the image. The role of gradient estimation...
Now-a-days image alignment is one of the most widely used techniques in computer vision. Image alignment has many applications in fields as diverse as video surveillance, computer vision, medical imaging, and video coding. The estimation of an objects' motion is a key step in image alignment. In this paper, we will present a low-complexity algorithm for estimation of motion parameters. Most of the...
Global motion estimation (GME) plays an important role in many video application systems such as video coding system MPEG-4. However, its computational complexity is very high. Fast algorithms are needed. In this paper, we propose an improvement to the GME algorithm. We achieve this by introduce two techniques. Firstly, integral projection algorithm (IPA) is used to get first translation estimation...
An efficient MacroBlock Pair based GME technique (MBP-GME) is proposed. Firstly, we give the definition of macroblock pair and feature macroblocks, not feature points, are extracted from macroblock pairs with the principle of global motion vector synthesis. Secondly, simplified pixel-based gradient descent iteration is performed using the pixels in the feature macroblocks. Finally, the exact global...
The time-to-contact (TTC) estimation is a simple and convenient way to detect approaching objects, potential danger, and to analyze surrounding environment. TTC can be estimated directly from single camera though neither distance nor speed information can be estimated with single cameras. Traditional TTC estimation depends on ldquointeresting feature pointsrdquo or object boundaries, which is noisy...
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