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This study presented a position estimation and control method for quadrotor using optical flow and GPS sensors. Firstly, an optical flow based location algorithm is shown that calculates relative position from continues images. Considering the drift problem of optical flow, an improved Kalman filter based position estimation method is presented to enhance performance of location system. Then a PD...
Video analysis is an essential process to segment and summarize sports videos automatically. In this paper, we propose fast and simple computer vision algorithms which can be employed to an event segmentation system for basketball broadcasting videos. In our approach, camera panning is estimated by the optical flow estimation and flow segmentation algorithms. For recognizing shot classes and clock...
This paper addresses the problem of estimating the depth map of a scene given a single RGB image. We propose a fully convolutional architecture, encompassing residual learning, to model the ambiguous mapping between monocular images and depth maps. In order to improve the output resolution, we present a novel way to efficiently learn feature map up-sampling within the network. For optimization, we...
Optical flow is referred to as velocity distribution of object image, and we have used spatio-temporal differentiation method to obtain optical flow. It is possible to obtain optical flow fast by the method, but the high velocity may induce large systematic errors. So, we introduced the compensation method for reducing the magnitude of velocity which is applied to spatio-temporal differentiation....
Haze is mainly occurred by atmospheric phenomena. Recently, many researchers in haze removal algorithm area are using single image. At the single image, we can't use depth information. To estimate the thickness of haze without depth information is not easy. As a result, single image haze removal method includes halo effect. In this paper, we propose halo effect suppression for single image haze removal...
Nowadays, researches on accident prevention using train-mounted cameras had been progressing. Our proposed method considers temporal continuity between frames by using motion vectors in addition to conventional thresholding on similarity values obtained by a human detection method using HOG features. Experiments show the effectiveness of our method as compared with a previous method using only HOG...
The present paper describes a low-cost algorithm for video stabilization. Like other feature based algorithms, it is robust to motion blur, noise and illumination changes. Moreover, maintaining real time processing, it is not negatively affected by moving objects in the scene, works fine even in conditions of low details in the background and it is robust to scene changes.
Scene flow estimation jointly recovers dense scene structure and motion from at least two pairs of stereo images, thus generalizing classical disparity and optical flow estimation. Such a complete description of the scene has many uses in the field of automated driving such as dynamic traffic object detection or infrastructure element detection. Estimation of the structure and motion of each scene...
Color constancy is the ability of the human visual system to perceive constant colors for a surface despite changes in the spectrum of the illumination. In computer vision, the main approach consists in estimating the illuminant color and then to remove its impact on the color of the objects. Many image processing algorithms have been proposed to tackle this problem automatically. However, most of...
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In this paper we present a method to recover the shading and specularities in the scene from a single image. The method presented here is based on the dichromatic model and enforces a local smoothness assumption over the object surfaces in the scene. This naturally leads to a setting where the estimate of the shading at a particular pixel can be expressed in terms of its neighbours up to a pair of...
Soft landing means to land a spacecraft on a surface by gradually reducing its velocity to within 0–5m/s. In order to land the spacecraft accurately at the desired landing spot the descent velocity of the spacecraft have to be determined. This paper introduces a vision based velocity estimation of a lander during soft-landing on an alien planet or a satellite. The method estimates the velocity by...
The primary task in preprocessing image is moving estimation and compensation of image senor, that is to say, correction problem of image background. In this paper, a new method of motion background compensation based on robust regression is proposed. The background motion velocity is calculated by the estimation of the optical flow field model. Then robust iterative weighted least square method is...
Photometric ambient occlusion estimation is to recover the local visibility of a scene from multiple illuminations at a fixed viewpoint. Its effectiveness is highly dependent on the amount of illuminations. In this paper, we study how to reliably extract photometric ambient occlusion from sparsely sampled illuminations. We specifically propose an effective relative entropy minimization framework to...
Gaze estimation is the process of determining the point of gaze in the space, or the visual axis of an eye. It plays an important role in representing human attention; therefore, it can be most appropriately used in Human Computer Interaction as a means of an advance computer input. Here, the focus is to develop a gaze estimation method for Human Computer Interaction using an ordinary webcam mounted...
Nowadays the Quality of Experience of multimedia content is largely investigated in order to understand the overall acceptability of the content as perceived subjectively by the end user. In this paper, a non-invasive technique is adopted for estimating the heart rate of a subject while he is watching 3D contents, as a first step towards the ultimate goal of relating heart rate variations to the quality...
Soft landing means to land a spacecraft on a surface by gradually reducing its velocity to within 0–5m/s. In order to land the spacecraft accurately at the desired landing spot the descent velocity of the spacecraft have to be determined. This paper introduces a vision based velocity estimation of a lander during soft-landing on an alien planet or a satellite. The method estimates the velocity by...
Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, perspective shift, and depth estimation. Micro-lens array (MLA) based light field cameras provide a cost-effective approach to light field imaging. The two major issues with MLA based light field cameras are low spatial resolution and narrow baseline,...
Visual Saliency Estimation is a computer vision problem that aims to find the regions of interest that are frequently in eye focus in a scene or an image. Since most computer vision problems require discarding irrelevant regions in a scene, visual saliency estimation can be used as a preprocessing step in such problems. In this work, we propose a method to solve top-down saliency estimation problem...
Current state of the art crowd density estimation methods are based on computationally expensive Gaussian process regression or Ridge regression models which can only handle a small number of features. In many computer vision applications, it has been empirically shown that a richer set of image features can lead to enhanced performances. In this paper, we reason that using more image features could...
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