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We present a robot self-localization approach that is based on using a cascade of filters that increasingly refine a robot's guess regarding where it is in a hallway system. The location refinement carried out by each stage of the cascade compares a signature extracted from a stereo pair of camera images taken at the current location of the robot with a database of such signatures collected previously...
Our work provides a fast approach-path-independent framework for the problem of place recognition and robot localization in indoor environments. The approach-path independence is achieved by using highly viewpoint-invariant 3D junction features extracted from stereo pairs of images; these are based on stereo reconstructions of the JUDOCA junctions extracted from the individual images of a stereo pair...
Global Positioning System (GPS) is becoming widely used for tracking and monitoring vehicles. Many systems have been created to provide such services which make them popular and needed more than ever before. In this paper a “GPS vehicle tracking system” is proposed. This system is useful for fleet operators in monitoring driving behavior of employees or parents monitoring their teen drivers. Moreover,...
In this paper, we propose spatio-temporal silhouette representations, called silhouette energy image (SEI) and silhouette history image (SHI) to characterize motion and shape properties for recognition of human movements such as human actions, activities in daily life. The SEI and SHI are constructed by using the silhouette image sequence of an action. The span or difference of the end time and start...
Data access latency can be reduced for databases by using caching. Semantic caching enhances the performance of normal caching by locally answering the fully as well as partially overlapped queries. Efficient query processing and cache management are major challenges for semantic caching. Semantic caching demands efficient, correct and complete algorithms to process incoming queries. Query processing...
In this paper, we propose a spatio-temporal silhouette representation, called silhouette energy image (SEI), and variability models, to characterize motion and shape properties for automatic recognition of human actions in daily life. To address the variability in the recognition of human actions, several parameters, such as anthropometry of the person, speed of the action, phase (starting and ending...
The typical workload in a database system consists of a mixture of multiple queries of different types, running concurrently and interacting with each other. Hence, optimizing performance requires reasoning about query mixes and their interactions, rather than considering individual queries or query types. In this paper, we use such a reasoning approach to develop a query scheduler. We treat the database...
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