Linear referencing represents locations along routes, linear features with an established measurement system, using relative positions. It allows locating events along routes without segmenting it, and has been applied to manage linear features in transportation and utility. In transportation, dynamics in variant attributes such as speed limit, number of lanes, surface material, and traffic acc...

This paper is concerned with the segmentation of images from an image sequence representing a dynamic scene. We assume a rapid scene sampling producing a situation similar to the short range motion process of the human visual system. Image segmentation is the division of the image into different regions, each having certain properties. Here, as in a number of our previous works with static imag...

Segmentation is a fundamental process in vertebrate embryogenesis, and one of the earliest manifestations of segmental patterning is the generation of transient, serially repeated blocks of mesodermal cells known as somites. Disruption of the normal segmentation process in humans leads to vertebral abnormalities such as spondylocostal dysostosis. In this minireview, we discuss recent advances i...

We develop a segmentation technique for dynamic PET incorporating the physiological parameters for different regions via kinetic modeling. We demonstrate the usefulness of our technique on fifteen [11C]Raclopride simulated PET images. We show qualitatively and quantitatively that the physiologically based algorithm outperforms two classical segmentation techniques. Further, we derive a formula ...

Automatic segmentation of objects from a single image is a challenging problem which generally requires training on large number of images. We consider the problem of automatically segmenting only the dynamic objects from a given pair of images of a scene captured from different positions. We exploit dense correspondences along with saliency measures in order to first localize the interest poin...

Segmental structure is a common pattern in many types of sequences such as phrases in human languages. In this paper, we present a probabilistic model for sequences via their segmentations. The probability of a segmented sequence is calculated as the product of the probabilities of all its segments, where each segment is modeled using existing tools such as recurrent neural networks. Since the ...

Hand gesture segmentation is a key step for gesture recognition. Based on the construction of a new color space of skin model, a new dynamic-thresholding segmentation approach named Adaptive Threshold Segmentation Algorithm (ATSA) was further developed and segmentation effect evaluation was conducted. Some images of hand gesture were processed by using ATSA and the Fixed Threshold Segmentation ...

We consider the segmentation of a trajectory into piecewise polynomial parts, or possibly other forms. Segmentation is typically formulated as an optimization problem which trades off model fitting error versus the cost of introducing new segments. Heuristics such as split-and-merge are used to find the best segmentation. We show that for ordered data (eg., single curves or trajectories) the gl...

Dynamic segmentation is a method that facilitates the small areas along a line feature to be referenced without actually breaking the line into pieces. However, the current dynamic segmentation methods are almost developed from 2D roadway centerline network models, and therefore they are unable to support 3D lane-oriented inventory management (e.g. pavement condition, traffic volumes, traffic a...

We present a new algorithm for segmenting a scene consisting of multiple moving dynamic textures. We model the spatial statistics of a dynamic texture with a set of second order Ising descriptors whose temporal evolution of is governed by an AutoRegressive eXogenous (ARX) model. Given this model, we cast the dynamic texture segmentation problem in a variational framework in which we minimize th...