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The endocardium tracking in ultrasound images is challenging due to large shape variations and the signal dropout. In this paper, we present a method to fuse multiple information sources to robustly track the endocardium. The first novelty of the method is to perform tracking in a straightened shape space, to minimize the image pattern changes caused by cardiac motions. Straightened images are used...
Automated high-throughput analysis of single-cell timecourse data presents a major bottleneck in live cell imaging. We present LineageTracker, an ImageJ framework to track expression of fluorescent gene reporters over multiple cell divisions. It is able to perform automatic segmentation and tracking, and allows viewing and editing of tracks. The main feature of the tracking algorithm is a statistical...
Illumination changes present challenging problems to video surveillance algorithms tasked with identifying and tracking objects. Illumination changes can drastically alter the appearance of a scene, causing truly salient features to be lost amid otherwise stable background. We describe an illumination change compensation method that identifies large, stable, chromatically distinct background features-called...
Keystone correction is an essential operation for projector-based applications, especially in mobile scenarios. In this paper, we propose a handheld movable projection method that can freely project keystone-free content on a general flat surface without adding any markings or boundary on it. Such a projection system can give the user greater freedom of display control (such as viewing angle, distance,...
Data Matrix barcode is one of the most extensively used 2D barcodes. During the flow process of Data Matrix barcode decoding, barcode localization is the first and non-trivial step for the latter steps, like affine transformation adjustment, fine-level foreground region extraction etc. In this paper, an innovative method for Data Matrix barcode localization based on boundary tracking and Radon transform...
A signature verification system based on video is proposed in this paper.The signature information is obtained from video of camera which is different from traditional online or offline method.First,we set the camera in upper front of the white written paper,so that we can get the signatures have the most identifiability for human recognition. We locate the pen tip position using a contour-based method...
The `displacement expert' has recently proven popular for rapid tracking applications. In this paper, we note that experts are typically constrained only to produce approximately correct parameter updates at training locations. However, we show that incorporating constraints on the gradient of the displacement field within the learning framework results in an expert with better convergence and fewer...
Shadow detection and removal is an important step employed after foreground detection, in order to improve the segmentation of objects for tracking. Methods reported in the literature typically have a significant trade-off between the shadow detection rate (classifying true shadow areas as shadows) and the shadow discrimination rate (discrimination between shadows and foreground). We propose a method...
Quantitative analysis of molecular structural change by means of Diffracted X-ray tracking (DXT) method requires tracking of dozens of bright spots in noisy image sequence. As the observation equipment upgrades, experimental data was cannot be analyzed manually with sufficient speed and accuracy. We propose automatic analysis method combining background estimation and frame-by-frame matching. We applied...
In this paper, a new Digital Image Stabilization (DIS) system is for humanoid eyes presented. This DIS system was biologically inspired by the human Vestibulo-Ocular Reflex (VOR) system, and is based on a KLT tracker and an Inertial Measurement Unit (IMU). In order to more accurately estimate the motion between two consecutive image frames, corresponding points that were discovered by KLT tracker...
It is significant to accurately locate the pupil position in eye tracking system. And the commonly used method is the algorithm combining Starburst and ellipse fitting. The Starburst algorithm is used to detect the edge of the pupil while the ellipse fitting is supposed to find the optimum ellipse that finely fits the pupil. Then the center of the ellipse is regarded as the location of the pupil....
Automated tracking of fluorescent particles in living cells is vital for subcellular stoichoimetry analysis. Here, a new automatic tracking algorithm is described to track multiple particles, based on minimal path optimization. After linking feature points frame-by-frame, spatio-temporal data from time-lapse microscopy are combined together to construct a transformed 3D volume. The trajectories are...
This paper proposes a number of methods to evaluate features in the context of people tracking in complex environments. Such environments will have varying lighting conditions (the subject of this paper), occlusions by other people and objects, as well as a varying number of people. The paper concentrates on edge features because of their insensitivity to changes in illumination and camera movements...
In the field of minimally invasive surgery one barrier in clinical practice is the limited field of view provided by endoscopic cameras. We propose an image mosaicking approach to extend the field of view for real-time visualization by stitching several video frames. The approach is based on feature tracking and a robust estimation of the image-to-image transformations. We compare its performance...
Graph cuts have proven to be powerful tools in image segmentation. Previous graph cut research has proposed methods for cutting across large graphs constructed from multiple layered video frames, resulting in an object being tracked across multiple frames. However, this research focuses on cutting graphs constructed from a prerecorded video sequence. In live video scenarios, frames cannot be layered...
In this paper, we present a method for directly computing the surface gradient of each pixel for 3D vision information computation on the basis of shape from shading. In our method, we estimate the unknown surface gradient of a current pixel, using the known surface gradients of its neighbor pixels, and then through several rounds of boundary tracking, we traverse all points and compute their surface...
This paper proposes a vision-based people counting system to count the number of persons entering or leaving the entrance of building. First, we develop a so-called adaptive AV codebook background model to segment foreground objects. In ROI (range of interest), we use the template matching method to find the objects, and then apply Hough transform to detect head contours to verify whether the object...
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