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Person tracking in Camera Networks Using Graph-Based Bayesian Inference
"... Abstract—In this paper, a probabilistic approach for tracking multiple persons through a network of distributed cameras is presented. The approach deals with the main problems associated with the tracking of persons through wide area networks-bridging large observation gaps between camera views and ..."
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Abstract—In this paper, a probabilistic approach for tracking multiple persons through a network of distributed cameras is presented. The approach deals with the main problems associated with the tracking of persons through wide area networks-bridging large observation gaps between camera views and reidentifying persons- by building on robust and view-invariant high-level features as well as a highly error-tolerant probabilistic filtering of person locations. The extraction quality and discriminative power of the proposed features is evaluated on realistic data including well-known and established benchmark datasets. A comparative performance analysis is then made to assess the accuracy of the probabilistic inter-camera tracking method given a number of different simulated and real quality levels of the underlying person detection and feature extraction components. The experiments are made using a simulated virtual environment involving multiple persons in an indoor surveillance scenario. I.
Automatic Causal Reasoning for Video Surveillance
, 2006
"... the degree of Doctor of Philosophy. This thesis is entirely my own work, and, except where ..."
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the degree of Doctor of Philosophy. This thesis is entirely my own work, and, except where
ABSTRACT THE POTENTIAL OF USING COMPUTER VISION SYSTEMS IN INTELLIGENT INTERACTIVE BUILDINGS
"... This paper discusses the potential of using computer vision systems to determine the usage of architectural spaces with the assistant of cameras. It describes a motion analysis system and explores how this functionality can be used by intelligent spaces to interact with the users or to assess their ..."
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This paper discusses the potential of using computer vision systems to determine the usage of architectural spaces with the assistant of cameras. It describes a motion analysis system and explores how this functionality can be used by intelligent spaces to interact with the users or to assess their usability, in short-term, long-term or periodically. 1.
A Vision-based Approach to Fire
"... detection immediate Abstract This paper presents a vision-based method for fire detection from fixed surveillance smart cameras. The method integrates several well-known techniques properly adapted to cope with the challenges related to the actual deployment of the vision system. Concretely, backgro ..."
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detection immediate Abstract This paper presents a vision-based method for fire detection from fixed surveillance smart cameras. The method integrates several well-known techniques properly adapted to cope with the challenges related to the actual deployment of the vision system. Concretely, background subtraction is performedwith a context-based learning mechanism so as to attain higher accuracy and robustness. The computational cost of a frequency analysis of potential fire regions is reduced by means of focusing its operation with an attentive mechanism. For fast discrimination between fire regions and fire-coloured moving objects, a new colour-based model of fire’s appearance and a new wavelet-based model of fire’s frequency signature are proposed. To reduce the false alarm rate due to the presence of fire-coloured moving objects, the category and behaviour of each moving object is taken into account in the decision-making. To estimate the expected object’s size in the image plane and to generate geo-referenced alarms, the camera-world mapping is approximated with a GPS-based calibration process. Experimental results demonstrate the ability of the proposed method to detect fires with an average success rate of 93.1 % at a processing rate of 10 Hz, which is often sufficient for real-life applications.
Acknowledgements
, 2011
"... Robust wide-area multi-camera tracking of people and vehicles to improve CCTV usage ..."
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Robust wide-area multi-camera tracking of people and vehicles to improve CCTV usage
Distributed Tracking in a Large-Scale Network of Smart Cameras
"... This paper describes a new distributed algorithm for track-ing in distributed camera networks. This algorithm oper-ates without a centralized server that collects all the mea-surements over the entire network. With the observations sent from its neighbors and the local probabilistic transition model ..."
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This paper describes a new distributed algorithm for track-ing in distributed camera networks. This algorithm oper-ates without a centralized server that collects all the mea-surements over the entire network. With the observations sent from its neighbors and the local probabilistic transition model, each camera independently estimates local paths in its neighborhood. The conflicts on locally estimated paths among cameras are resolved by a voting algorithm, and the agreed local paths are finally combined into global paths. Our experiments with simulated data demonstrate that the proposed distributed tracking algorithm is fast and scalable without degrading tracking accuracy.
