1,720,983 research outputs found
"An agent-based approach for tracking people in indoor complex environments"
No full textThis paper presents an agent-based architecture designed to functionally combine data from an homogeneous network of sensors for tracking purposes. The system has been developed in a video surveillance context to detect, classify and track moving objects in a scene of interest. Although single camera systems could perform the tasks outlined above, they would not be able to deal with topologically complex environments such as corridor, corners and indoor locations in general. The multi-sensor approach has been used to overcome these problems, nevertheless issues arise such as data fusion, synchronization and camera calibration. The sensor fusion approach here purposed uses autonomous software agents to negotiate the combination of data and the fusion is carried out by appropriate signal processing algorithms. The system has been tested with indoor video sequences to show the system's ability to preserve identity and of correct trajectory estimation of the tracked object
"A Multicamera fusion framework for multiple occluding objects tracking in intelligent monitoring and sport viewing applications"
No full textThe aim of this paper is to present a multi camera system for location estimation inspired to a model inherited from the Data Fusion domain: the Joint Directorate of Laboratories (JDL) model . The problem specifically faced is the tracking of objects in two complementary applications: Intelligent Monitoring (Video Surveillance) and Sport Viewing (Football Players Tracking), where multiple occluding objects have to be successfully segmented and located using different features such as color, position and dynamic
PERCEIVING CONTEXT IN AN IMMERSIVE ENVIRONMENT: A MULTISENSOR APPROACH
No full textThe proposed paper is mainly focused on a novel architecture for
immersive multisensor data fusion. The use of agents and complex adaptive
classification methods such as Self Organizing Maps (SOM), allows one to
provide the system with the sufficient capability to organize information into
high level abstraction contents. This knowledge or awareness of the
environment can be exploited by the system itself in order to react and have an
influence on the observed domain. The focus of the research carried out is
concentrated on the context information defined as a set of features related to
the environment, which are not created explicitly to be input to the system
"Dual camera system for face detection in uncostrained environments"
No full textA system 1 for face detection in outdoor environments for multisensor video surveillance applications is presented. The system is characterized by a combination of two pantilt video cameras, which cooperate in order to track and to characterize moving objects with positioning and biometric informations. The final result of the action of the system is the collection of small video shots regarding the face of humans detected in outdoor environments with a robust behavior
Self-organizing shape description for tracking and classifying multiple interacting objects
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"A distributed dynamic reconfigurable system for ambient intelligence"
No full textThe analysis of the problem of distribution of intelligence and a novel technique for dynamic task allocation and reconfiguration in a distributed system has been proposed. A formalization of task allocation problem was proposed and a system that was able to automatically download and run logical modules onto physical processors was described. A model was proposed to decompose logical surveillance functionalities into a set of modulues and to optimally allocate such modules among a set of physical processing units by minimizing a functional cost. The example of working system that provides a complete distributed computing environment infrastructure characterized by an highly scalable model, to handle data
"Context-based Message Selection Strategies in a Biologically Inspired Ambient Intelligence System"
No full text"Issues in Multicamera Dynamic Metadata Information Extraction and Interpretation for Ambient Intelligence"
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No full textThis paper proposes novel technique for elimination of moving objects self-generated illumination variations with respect to a fixed reference frame (background). In particular, proposed techniques can be used by a video-based surveillance system able to automatically detect potentially dangerous or particular situations happening within a guarded area. Proposed techniques are based on chromatic properties of cast shadows and illumination and achieved results demonstrate that the proposed approach can greatly improve performances of a video-surveillance system in term of the precision of detected objects. Presented processing techniques are necessary in the case of a real system that must be able to work with good performances twenty-four hours a day
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