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Proceedings ArticleDOI

Monitoring a large surveillance space through distributed face matching

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TLDR
A distributed camera and processing based face detection and recognition system which can generate information for finding spatiotemporal movement pattern of individuals over a large monitored space is proposed.
Abstract
Large space with many cameras require huge storage and computational power to process these data for surveillance applications. In this paper we propose a distributed camera and processing based face detection and recognition system which can generate information for finding spatiotemporal movement pattern of individuals over a large monitored space. The system is built upon Hadoop Distributed File System using map reduce programming model. A novel key generation scheme using distance based hashing technique has been used for distribution of the face matching task. Experimental results have established effectiveness of the technique.

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Citations
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Journal ArticleDOI

Distributed Video Surveillance Using Smart Cameras

TL;DR: This work proposes a novel distributed protocol for a face recognition system that exploits the computational capabilities of the surveillance devices (i.e. cameras) to perform the recognition of the person.
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Corona based node distribution scheme targeting energy balancing in wireless sensor networks for the sensors having limited sensing range

TL;DR: It is noticed that the node distribution through the proposed scheme not only provides better coverage in each layer but also minimizes both the energy-hole and the coverage-hole problems in the deployment field while maintaining longevity of the sensor network.
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Design of Probability Density Function Targeting Energy Efficient Network for Coalition Based WSNs

TL;DR: The design of a Probability Density Function (PDF) targeting the desired coverage, and energy efficient node deployment scheme, and the simulation results obtained confirm the schemes superiority over the other existing schemes.
Proceedings ArticleDOI

A prediction-based distributed tracking protocol for video surveillance

TL;DR: The protocol organizes the distribution of a classification library among the cameras involved, which also participate actively to the target recognition phase, and minimizes the network overhead towards the centralized server while keeping high the speed of recognition.
Proceedings ArticleDOI

DICE: A Distributed Protocol for Camera-Aided Video Surveillance

TL;DR: A novel distributed protocol is proposed that exploits the computational capabilities of the surveillance devices (i.e. cameras) to perform the recognition of the person to reduce up to 50% the load of the server with no negative impact on the quality of the Surveillance service.
References
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Journal ArticleDOI

Robust Real-Time Face Detection

TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Proceedings ArticleDOI

Robust real-time face detection

TL;DR: A new image representation called the “Integral Image” is introduced which allows the features used by the detector to be computed very quickly and a method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions.
Journal ArticleDOI

Learning patterns of activity using real-time tracking

TL;DR: This paper focuses on motion tracking and shows how one can use observed motion to learn patterns of activity in a site and create a hierarchical binary-tree classification of the representations within a sequence.
Journal ArticleDOI

DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo

TL;DR: An EM-based algorithm to compute dense depth and occlusion maps from wide-baseline image pairs using a local image descriptor, DAISY, which is very efficient to compute densely and robust against many photometric and geometric transformations.
Journal ArticleDOI

Intelligent distributed surveillance systems: a review

TL;DR: This survey describes the current state-of-the-art in the development of automated visual surveillance systems to provide researchers in the field with a summary of progress achieved to date and to identify areas where further research is needed.
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