Simultaneous tracking of multiple objects is a state-of-art problem in the field of computer vision. The problems of tracking single object and tracking multiple objects are not same. For tracking multiple objects, lots of problem can arise due to abrupt object motion, multiple object interaction, drifting of object etc. Some recent work has proposed solution to minimize those problems. The mai...

The task of assessing the market cost an art object (AO) is relevant for artists, dealers, collectors and museum workers, among others. Experts appraisers who need appropriate automation tools are involved in its solution. complicated by inconsistency conceptual apparatus specialists’ various fields knowledge, specifics AO market. Known methods solving it, especially automated methods, not nume...

Japanese ceramic and lacquer objects have been collected and used as interior decorations in Europe since the early seventeenth century, and in the nineteenth century the fashion for Japonisme saw a boom of importing various Japanese decorative arts. Museums and private collections all over the world have rich holdings of Japanese decorative arts, however, the systematic research of Japanese de...

Museums, libraries, national archives and art galleries deal with visual objects that must be made accessible to a wide variety of experts or non-experts like researchers, art lovers or interested people. The ability to identify objects sharing some aspect of visual similarity can be useful when trying to trace historical influences or when looking for further examples of paintings, sculptures ...

In writing up the artifacts from my excavations in Morelos (Smith 2004a, b), I have run up against a roadblock in scholarship in Aztec archaeology and art history. Aztec objects are scattered in museums throughout the world, and there are few catalogs or comprehensive studies of particular classes of object (Smith 2003:6). This makes it difficult to find relevant comparative examples for my fra...

The Visual Dependency Representation (VDR) is an explicit model of the spatial relationships between objects in an image. In this paper we present an approach to training a VDR Parsing Model without the extensive human supervision used in previous work. Our approach is to find the objects mentioned in a given description using a state-of-the-art object detector, and to use successful detections...

The model of the hybrid neural network is considered. This model consists of model ART-2 for clustering and perceptron for preprocessing of images. The perceptron provides invariant recognition of objects. This model can be used in mobile robots for recognition of new objects or scenes in sight the robot during his movement.

SuperRare is a new object-oriented attention algorithm based on the notion of rarity: rare regions are worthy of attention. The main novelty of the model is to use superpixels of several sizes instead of simple pixels. This approach allows SuperRare to react efficiently to salient objects of any size. The model is validated on Jian Li’s database, a database considering both large, medium and sm...