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Error resilient video coding critically relies on the accuracy of end-to-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is based on tracking the first and second moments of the decoder reconstructed pixels. This paper is focused on an alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), whose recursion...
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In this paper, we address the same estimation problem and propose to solve it in a more general convex optimization framework based on proximal methods. More precisely, unlike previous works where the criterion must satisfy some...
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects. For that task, two different kinds of estimation methods exist. On the one hand, pixel-based approaches deliver more precise results and work more robust on video sequences with foreground objects. On the other hand, when...
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions. Due to the nature of hyperspectral sensors, output data is mostly associated with correlated noise rather than with the white Gaussian noise considered in most of the analysis. In the presence of correlated noise, estimation...
Two dimensional human body pose modelling system detects the human body parts, estimates their posture and then models them in an image plane using specified shape. In this paper, two windowing techniques are presented and then compared for the human head and torso pose modelling. The first technique, namely Windowing technique I estimates the torso followed by the head of the human. In this technique,...
Multiview video coding (MVC) improves the coding efficiency by motion estimation (ME) and disparity estimation (DE). ME and DE at encoder side involve in heavy computation, which needs to be further reduced for practical applications. This paper presents fast disparity estimation by utilizing depth information to reduce DE's computational complexity. First, the coordinate offset of the encoding block...
An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the second mechanical pan tilt to lock the target and follow it efficiently and accurately. A hybrid algorithm is...
This paper presents a real-time stereo algorithm that estimates scene depth information with high accuracy. Our algorithm consists of two novel components. First, we apply a modified two-pass aggregation to the adaptive cost aggregation process, use color similarity to calculate support weight, and introduce a credibility estimation mechanism to reduce accuracy loss during two-pass aggregation. Second,...
This paper proposes a system to relate objects in an image using occlusion cues and arrange them according to depth. The system does not rely on any a priori knowledge of the scene structure and focuses on detecting specific points, such as T-junctions, to infer the depth relationships between objects in the scene. The system makes extensive use of the Binary Partition Tree (BPT) as the segmentation...
We present a novel stereo video disparity estimation method. The proposed method is a two-stage algorithm. During the first stage, initial disparity maps are computed in a frame-by-frame basis. In the second stage, the initial estimates are treated as a space-time volume. By setting up an l1-normed minimization problem with a novel three-dimensional total variation regularization, spatial smoothness...
In this study, an effective foreground/background segmentation approach for bootstrapping video sequences is proposed. First, a modified block representation approach is used to classify each block of the current video frame into one of the four categories, namely, “background,” “still object,” “illumination change,” and “moving object.” Then, a new background updating scheme is developed, in which...
We present a novel method to model and estimate elastic geometric deformations of an observed object, whether they are caused by the object's own dynamic behavior, or by the dynamic behavior of the imaging device, or both. A procedure for estimating the space of possible deformations the object may undergo based only on a set of observations is derived. This information is then employed to derive...
This paper proposes a new HDR imaging method in the gradient domain based on the fusion of two images with different exposure. We first formulate an energy function for the binary labeling of each pixel based on the brightness and contrast measure of each image, which gives a binary map that determines whether the under-exposed image is better than the overly exposed one or not. Then a target gradient...
In this paper, we present a seam carving, which is a well-known content-aware image resizing method, with a constraint on bitrates for seam path information (SPI). The SPI corresponds to pixel positions to be pruned and it generally requires high bitrate when we store or transmit it. However, the SPI should be transmitted to receivers in the case that the receivers are devices with low computing power,...
In this paper, a low-complexity motion-based saliency map estimation method for perceptual video coding is proposed. The method employs a camera motion compensated vector map computed by means of a hierarchical motion estimation (HME) procedure and a Restricted Affine Transformation (RAT)-based modeling of the camera motion. To allow for a computationally efficient solution, the number of layers of...
This paper addresses the estimation of different context parameters of a primary user network based on signal strength measurements obtained by a sensor network and without any prior knowledge of the antenna types used by primary transmitter or the propagation model. The obtained context information can be stored in a database like a Radio Environment Map (REM) and be used to decide the appropriate...
We propose a data-driven, multi-view body pose estimation algorithm for video. It can operate in uncontrolled environments with loosely calibrated and low resolution cameras and without restricting assumptions on the family of possible poses or motions. Our algorithm first estimates a rough pose estimation using a spatial and temporal silhouette based search in a database of known poses. The estimated...
Visual marker systems have become an ubiquitous tool to supply a reference frame onto otherwise general scenes. Throughout the last decades, a wide range of different approaches have emerged, each one endowed with different strengths and limitations. Some techniques adopt tags that are optimized to reach a high accuracy in the recovered camera pose, others are based on designs that aim to maximizing...
Building edge detection exploting Synthetic Aperture Radar (SAR) multi-channel data is a research topic of increasing importance in years. The basic idea of the presented algorithm is to estimate edges using jointly both SAR amplitude and phase data. The technique exploits also Markov Random Field (MRF) theory. A correlation map, from which building edges are detected, is computed using both phase...
In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular...
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