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In this paper, we propose a novel method to transmit the label maps by propagating from a key frame to non-key frames. The label map of a non-key frame is initialized by warping the label map of its corresponding key frame according to the motion estimation between them. Subsequently, the initialized label map is optimized with the guidance of its texture image. The optimization process minimizes...
This paper presents a simple method to solve the P4P problem based on co-planar feature points. By enhancing the geometric constraints of the feature points which attached to the target previously, we obtain the three-dimensional camera coordinates of the feature points in two different formulas. Then the translation vector and three rotation angles describing the relationship between target coordinate...
In this paper, we propose a method for pose estimation of multiple (textureless) objects of the same type in heavily cluttered environments. The method as such could be used as a component for building more flexible automated visual inspection systems, removing the need for precise mechanical manipulation and enable inspection in settings previously thought unfeasible. The method consists of three...
Facial demographic classification is an attractive topic in computer vision. Attributes such as age and gender can be used in many real life application such as face recognition and internet safety for minors. In this paper, we present a novel approach for age estimation and gender classification under uncontrolled conditions following the standard protocols for fair comparaison. Our proposed approach...
It is presented a vision system based on a standard RGB digital camera to track an unmanned aerial vehicle (UAV) during the landing process aboard a ship. The developed vision system is located on the ship's deck and is used to track the UAV during all the landing process. A Ground-based vision system makes it possible to use an UAV with small size and weight, since the UAV will have less computer...
In April 20, 2010, the largest amount of oil in history leaked into the Gulf of Mexico (GoM) due to the oil rig explosion. For the fact of the lack of accurate technique for estimating the volume of oil spilled in this incident, ad-hoc techniques were employed from other fields e.g. Particle Image Velocimetry (PIV) from fluid dynamic experiment. Of the different techniques employed, the technique...
The segmentation of video sequences into regions underlying a coherent motion is one of the most useful processing for video analysis and coding. In this paper, we propose an algorithm that exploits the advantages of both top-down and bottom-up techniques for motion field segmentation. To remove camera motion, a global motion estimation and compensation is first performed. Local motion estimation...
The segmentation of video sequences into regions underlying a coherent motion is one of the most useful processing for video analysis and coding. In this paper, we propose an algorithm that exploits the advantages of both top-down and bottom-up techniques for motion field segmentation. To remove camera motion, a global motion estimation and compensation is first performed. Local motion estimation...
This paper proposes and discusses the use of motion-oriented connected operators for sprite creation. Motion-oriented connected operators are tools allowing the simplification of frames by removing objects that do not follow a given motion. They combine features of filtering and segmentation tools. They are, however, less computationally expensive than most motion-oriented segmentation algorithms...
3D information of real-world scenes provides important clues for many computer vision tasks. We present a simple but effective sliding camera system as well as a corresponding stereo reconstruction framework to retrieve 3D information of static scenes. By fusing geometric properties of the sliding camera system, our reconstruction algorithm achieves higher accuracy than conventional methods in quantitative...
For tracking applications, the estimation of the “true” motion vector is crucial. The Complex Discrete Wavelet Transform (CDWT) based motion estimation algorithm developed by Magarey and Kingsbury produced superior results for the estimation of the dense flow field. In this work, the use of the CDWT-based motion estimation algorithm for the vision-based tracking of targets has been evaluated. First,...
In this paper we are interested in recovering 2D tree structure of vines from binary images. We propose a bottom-up approach that firstly segments an input image into cane parts, and second infer their connectivity by using Gibbs Sampling. Our approach is similar to previous work on vine structure inference [1], but instead of the use of heuristics for connecting cane parts, our method uses Gibbs...
Logging food and calorie intake has been shown to facilitate weight management. Unfortunately, current food logging methods are time-consuming and cumbersome, which limits their effectiveness. To address this limitation, we present an automated computer vision system for logging food and calorie intake using images. We focus on the "restaurant" scenario, which is often a challenging aspect...
Despite recent advances, the extraction of optical flow with large displacements is still challenging for state-of the-art methods. The approaches that are the most successful at handling large displacements blend sparse correspondences from a matching algorithm with an optimization that refines the optical flow. We follow the scheme of Deep-Flow [33]. We first extract sparse pixel correspondences...
In recent years, a tremendous research effort has been made in the area of generic object recognition. However, the most important thing is not the names but functions for robots to comprehend objects. Object functions refer to “the purpose that something has or the job that someone or something does”. Various elements (e.g., the physical information, material, appearance and human interaction) independently...
In this paper, we propose a adaptive-window-based dehazing method for hazy images. The proposed method is composed of four parts: dark channel measurement, bilateral filtering, atmosphere light and transmission map estimation, and scene radiance recovery. Dissimilar to existing methods, we proposed an adaptive-window-based algorithm to obtain the dark channel. Experimental results demonstrate that...
Hypothesis generation is crucial to many robust model fitting methods. In this paper, we propose an effective hypothesis generation method by adopting conditional sampling with local constraints. We choose data to generate hypotheses according to sampling weights, which are computed according to ordered residual indices. To sample a minimal subset, we randomly choose a seed datum, compute sampling...
This paper presents a novel image haze removal approach from single image. In the algorithm, the constant albedo and dark channel prior methods are combined to represent the transmission model of hazed image. And then, the quick shift segmentation approach is introduced to decompose the input image into some gray level consistent areas. Compared with traditional fixed image partition schemes, better...
In this paper, we study the depth estimation for image sequence with small displacements as in Breast Self Examination (BSE). We utilized its Lucas-Kanade optical flow vectors, the concept of divergence and focus of expansion to estimate the apparent depth level for each frame. Moreover, orientation binning is also introduced to supplement its invariance to translation. The experiment used an actual...
The study of human behavior using infants as target subjects is very attractive since these individuals are minimally affected by cultural background and display the fastest rates of evolving cognition and physique, opening possibilities to longitudinal but relatively short-term research. Naturally, important customers of infant movement data are healthcare practitioners and scientists at the cutting...
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