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Transient imaging techniques capture the propagation of an ultra-short pulse of light through a scene, which in effect captures the optical impulse response of the scene. Recently, it has been shown that we can capture transient images using commercial, correlation imager based Time-of-Flight (ToF) systems. But the temporal resolution of these transient images are currently limited by high-speed electronics...
Classical dictionary learning algorithms that rely on a single source of information have been successfully used for classification tasks. Additionally, the exploitation of multiple sources has shown to be advantageous in challenging real-world situations. We propose a new framework to exploit robust modality fusion in classification in order to achieve better classification performance than single...
Estimation of salient regions in an input video is an active area of research due to its wide applications. In this paper, we propose a novel algorithm to estimate the eye gaze movement in a video using motion, color and structural cues with minimum outliers. The algorithm is generalized to capture salient information for the videos taken under different camera motions. The entire algorithm is parallelizable...
Time-of-flight (ToF) imaging is an active method that utilizes a temporally modulated light source and a correlation-based (or lock-in) imager that computes the round-trip travel time from source to scene and back. Much like conventional imaging ToF cameras suffer from the trade-off between depth of field (DOF) and light throughput-larger apertures allow for more light collection but results in lower...
When tracking multiple objects in an image sequence, various difficulties such as occlusion, mis-detection, false detection, and abrupt camera motion often occur together. Nevertheless, previous methods on multi-object tracking generally focus on only one or two of them. For that reason, the previous methods could not handle various problematic situations, where multiple difficulties occur simultaneously...
Source camera identification methods aim at identifying the camera used to capture an image. In this paper we developed a method for digital camera model identification by extracting three sets of features in a machine learning scheme. These features are the co-occurrences matrix, some features related to CFA interpolation arrangement, and conditional probability statistics. These features give high...
Prairie voles are socially monogamous rodents that form social bonds similar to those seen in primates. Social behavior investigation in these species, that include studying their breathing regulation, can provide us with an invaluable psychological model to understand social and emotional functions in both animals and humans. There have been several studies associated with the respiratory pattern...
In this paper, we propose a novel computer vision technique to measure respiration rate by counting the periodic thoracoabdominal motion in real-time using an inexpensive consumer grade camera. We compute the component of optical flow parallel to the image gradient at each pixel, which is a computationally inexpensive operation. Then, we find a principal flow field by gathering information over many...
Scientific studies have demonstrated that an atypical respiratory rate (RR) is frequently one of the earliest and major indicators of physiological distress. However, it is also described in the literature as “the neglected vital parameter”, mainly due to shortcomings of clinical available monitoring techniques, which require attachment of sensors to the patient's body. The current paper introduces...
Digital Image processing in medical field can play an important role in monitoring and diagnosis the patient's health condition to provide an effective treatment. However, quality of camera, luminescence level, and distance of object from camera and incidence angle of taking images introduces several foreign characteristics in images, making diagnostic process a difficult and cumbersome task. Image...
View synthesis technique for 3D video and free viewpoint video (FVV) using existing view(s) can avoid the large volume of video data transmission. Existing techniques may concern poor rendering quality by missing pixel values (i.e. creating holes) due to the occluded region, rounding error and disparity discontinuity. To address those problems with the existing techniques uses correlations in spatial...
Photo Response Non-Uniformity (PRNU) noise can be considered as a spread-spectrum watermark embedded in every image taken by the source imaging device. It has been effectively used for localizing the forgeries in digital images. The noise residual extracted from the image in question is compared with the reference PRNU in a sliding-window based manner. If their normalized cross correlation, which...
Extracting the motion patterns from videos is a basic task in video surveillance and has become an active research area. In this paper, we propose a novel approach for discovering motion patterns in a scene observed by one or two cameras. The chaos theory is employed to compute the chaotic invariant features (CIFs) after obtaining all the trajectories. The CIFs and other features are combined to a...
Modern industrial cameras mainly use the Bayer pattern as color filter array (CFA). However, this filtering limits the resolution of the color space. As interpolation methods cannot reconstruct the original image perfectly, they have to be optimized for a specific application. Therefore, the interpolation should match the purpose of the image processing system. Many standard algorithms are optimized...
The goal of this paper is to analyze the accuracy of pulse rate estimation from the sequence of face images. Simulated and real signals were used to evaluate two pulse rate estimators; one for frequency domain and the second one for time domain using the autocorrelation function. The results show that the mean difference between the reference measurements and estimated pulse rate values are about...
Recently, the latest advances in compact feature representation and feature learning have provided an efficient framework for several visual analysis tasks, such as object recognition. However, when multiple cameras with overlapping fields-of-view are employed, other visual analysis tasks such as depth estimation can be supported and object recognition accuracy can be improved. In this paper the problem...
Pushbroom cameras are widely used for earth observation application. This sensor capture 1D image over time and sweep out a region of space and build a 2D image using the straight motion of the satellite. The attitude variation is assumed to be constant during the acquisition process. However, this assumption has been weakened due to a tendency of miniature and lightweight of satellites. In this paper,...
Metal rubber is a kind of special metal, made of wire through a special technology with high damping and porous, it has the common advantages of metal and rubber, having a good foreground in application. The whole procedure used two CCD cameras captures the images of metal rubber sample surface subjected to various loadings, using three-dimensions digital correlation technology to analyze pictures...
Depth map provides rich information and it can be utilized in object tracking to handle some challenging problems in conventional RGB tracking such as occlusions and model drift. In this paper, we present a tracker that provides an effective real-time target tracking method based on a binocular camera. The proposed tracker is an extension of the popular KCF algorithm that leverages a circulant structure...
This article explores a way of describing and comparing the local features of the image. Proposed algorithm for construction descriptor of image features, allows to carry out cross-correlation analysis. Proposed algorithm for evaluating similarity between two neighborhoods of features of the image.
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