In recent years several works have aimed at exploiting color information in order to improve the bag-ofwords based image representation. There are two stages in which color inform...
David Augusto Rojas Vigo, Fahad Shahbaz Khan, Joos...
We consider a simple statistical model of the image, in which the image is represented as a sum of two parts: one part is explained by an i.i.d. color Gaussian mixture and the oth...
—A common problem in many areas of behavioral research is the analysis of the large volume of data recorded during the execution of the tasks being studied. Recent work has propo...
Walter Mankowski, Ali Shokoufandeh, Dario Salvucci
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
This paper introduces a binarization method based on edge for video text images, especially for images with complex background or low contrast. The binarization method first detec...
This paper proposes the use of a new symmetry property based on proximity of the median moments in the wavelet domain. The method divides a given frame into 16 equally sized blocks...
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...
Scene text images feature an abundance of font style variety but a dearth of data in any given query. Recognition methods must be robust to this variety or adapt to the query data...
—In this paper we present a system that integrates automatic camera geometry estimation and object detection from a Pan Tilt Zoom camera. We estimate camera pose with respect to ...
Alberto Del Bimbo, Giuseppe Lisanti, Iacopo Masi, ...