In this paper, we present a new solution to the problem of multi-camera tracking with non-overlapping fields of view. The identities of moving objects are maintained when they are traveling from one camera to another. Appearance information and spatio-temporal information are explored and combined in a maximum a posteriori (MAP) framework. In computing appearance probability, a two-layered hist...

This document is in the required format. This work shows a benchmark of e-Learning tools including an approach for comparing them based on histogram specification concepts. The analysis is based on the definition of a set of criteria which are useful and desirable characteristics of learning management systems. The final results show the evaluation from different views including the approach ba...

Aiming at the influence of joints or part structures deformations on the accuracy of gesture recognition in representing, and large amount of calculation with shape matching directly, a method based on innerdistance contour point distribution features (IDCPDF) and histogram matching is proposed in this paper. Firstly, elliptical skin model is used to segment and extract contour. Then IDCPDF of ...

This paper presents a technique to enable deformable objects to be matched throughout video sequences based on the information provided by the multi-scale local histograms of the images. We shall show that this technique is robust enough for viewpoint changes, lighting changes, large motions of the matched object and small changes in rotation and scale. Unlike other wellknown color-based techni...

In this paper we present a novel method for shadow removal in single images. For each shadow region we use a trained classifier to identify a neighboring lit region of the same material. Given a pair of lit-shadow regions we perform a region relighting transformation based on histogram matching of luminance values between the shadow region and the lit region. Then, we adjust the CIELAB a and b ...

Quantitatively establishing the discriminative power of iris biometric data is considered. Multi-level 2D wavelet transform has been widely used for iris verification system. While previous approaches compute only means and variances, we propose using a histogram distance. We also use a methodology to establish a measure of discrimination that is statistically inferable. To establish the inhere...

Large-scale compilations of airborne geophysical data are an important part of regional-scale mineral exploration and in most cases, the compilation involves merging datasets of varying quality, acquired over a long period of time. Merging radiometric datasets involves the additional complication that many older surveys were flown with uncalibrated spectrometer systems. Conventional grid mergin...

We previously presented an image registration method, referred to hierarchical attribute matching mechanism for elastic registration (HAMMER), which demonstrated relatively high accuracy in inter-subject registration of MR brain images. However, the HAMMER algorithm requires the pre-segmentation of brain tissues, since the attribute vectors used to hierarchically match the corresponding pairs o...

Color histograms are widely used for content-based image retrieval. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, a histogram is a coarse characterization of an image, and so images with very different appearances can have similar histograms. We describe a technique for comparing images called histogram refinement, which imposes additional con...

This paper considers the problem of mobile robot localization. The localization is done using a particle filter built on a highly accurate probabilistic model of laser scan and a histogram based representation of sensor readings. A histogram matching exploits sensor data coming from the laser and data obtained from the existing map. Experimental results indicate feasibility of the proposed appr...