A general-purpose system for distributed surveillance and communication

Desurmont, Xavier; Bastide, A.; Czyz, J.; Delaigle, Jean-François; Macq, Benoı̂t

doi:10.1049/pbpc005e_ch5

Cited by 7 publications

(5 citation statements)

References 33 publications

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“…For video surveillance, automatic RoI extraction methods are used in order to extract the moving objects of the scene. Examples of such methods are presented in [16], [40] and [41]. Alternative videos are then generated by cropping the areas of the image containing the objects of interest.…”

Section: A Interactive Commands and Browsing Optionsmentioning

confidence: 99%

An Interactive Video Streaming Architecture Featuring Bitrate Adaptation

Fernandez¹,

Vleeschouwer²,

Toma³

et al. 2012

JCM

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This paper describes an interactive and adaptive streaming architecture that exploits temporal concatenation of H.264/AVC video bit-streams to dynamically adapt to both user commands and network conditions. The architecture has been designed to improve the viewing experience when accessing video content through individual and potentially bandwidth constrained connections. On the one hand, the user commands typically gives the client the opportunity to select interactively a preferred version among the multiple video clips that are made available to render the scene, e.g. using different view angles, or zoomed-in and slow-motion factors. On the other hand, the adaptation to the network bandwidth ensures effective management of the client buffer, which appears to be fundamental to reduce the client-server interaction latency, while maximizing video quality and preventing buffer underflow. In addition to user interaction and network adaptation, the deployment of fully autonomous infrastructures for interactive content distribution also requires the development of automatic versioning methods. Hence, the paper also surveys a number of approaches proposed for this purpose in surveillance and sport event contexts. Both objective metrics and subjective experiments are exploited to assess our system

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Section: A Interactive Commands and Browsing Optionsmentioning

confidence: 99%

An Interactive Video Streaming Architecture Featuring Bitrate Adaptation

Fernandez¹,

Vleeschouwer²,

Toma³

et al. 2012

JCM

View full text Add to dashboard Cite

show abstract

“…to high-level analysis techniques (probability-based approaches such as Gaussian mixtures and particle filters). Considering the order in which information is used, two different approaches exist (Desurmont et al, 2006): ''bottom-up'', where the tracking algorithm tries to build an ''optimal'' high-level representation from low-level image features, and ''top-down'', where tracking tries to locate certain features of the detected regions of interest. In top-down tracking, a gradient descent algorithm is most commonly used to find the localization which maximizes the correlation between target features and current image.…”

Section: Surveillance Video Systemsmentioning

confidence: 99%

Video tracking system optimization using evolution strategies

García

Pérez

Berlanga

et al. 2007

Int J Imaging Syst Tech

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A video-based tracking system for airport surveillance, composed by modules performing vision tasks at different levels, is adapted for operational conditions by means of Evolution Strategies (ES). An optimization procedure has been carried out considering different scenes composed of representative trajectories, supported by a global evaluation metric proposed to quantify the system performance. The generalization problem (the search of appropriate solutions for general situations, avoiding over-adaptation to particular conditions) is approached considering evaluation of ES-individuals over combinations of trajectories to build the fitness function. In this way, the optimization procedure covers sets of trajectories representing different types of problems. Besides, alternative operators for aggregating partial evaluations have been analysed. Results show how the optimization strategy provides a sensitive tuning of performance related to input parameters at different levels, and how the combination of different situations improves the generalization capability of the trained system. The global performance final system after optimization is also compared with representative algorithms in the state of the art of visual tracking.

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“…A deployment module (part of the management application) is able to compute all parameters needed for execution and to install image processing software (or other software) on each camera of the network (such as [1]). The global approach [12] is summarised in Figure 20 where the three processing axes are shown: description, filtering and intelligence. The first axis includes the acquisition of the image and provides segmented images, tracking results and events.…”

Section: Image Processingmentioning

confidence: 99%

Real-time high-level video understanding using data warehouse

et al. 2006

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High-level Video content analysis such as video-surveillance is often limited by computational aspects of automatic image understanding, i.e. it requires huge computing resources for reasoning processes like categorization and huge amount of data to represent knowledge of objects, scenarios and other models.This article explains how to design and develop a "near real-time adaptive image datamart", used, as a decisional support system for vision algorithms, and then as a mass storage system. Using RDF specification as storing format of vision algorithms meta-data, we can optimise the data warehouse concepts for video analysis, add some processes able to adapt the current model and pre-process data to speed-up queries. In this way, when new data is sent from a sensor to the data warehouse for long term storage, using remote procedure call embedded in object-oriented interfaces to simplified queries, they are processed and in memory data-model is updated. After some processing, possible interpretations of this data can be returned back to the sensor.To demonstrate this new approach, we will present typical scenarios applied to this architecture such as people tracking and events detection in a multi-camera network. Finally we will show how this system becomes a high-semantic data container for external data-mining.

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A general-purpose system for distributed surveillance and communication

Cited by 7 publications

References 33 publications

An Interactive Video Streaming Architecture Featuring Bitrate Adaptation

An Interactive Video Streaming Architecture Featuring Bitrate Adaptation

Video tracking system optimization using evolution strategies

Real-time high-level video understanding using data warehouse

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