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Communication Dans Un Congrès Année : 2019

Image-based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services

Résumé

Nowadays, urban and vehicular surveillance systems are col- lecting large amounts of image data for feeding recognition systems e.g. towards proposing localization or navigation services. In many cases, these image data cannot directly be processed in situ by the acquisition systems in reason of their low computational capabilities. The acquired images are transferred to remote computing servers through various com- puter networks, then analyzed in details towards object recognition. The objective of this paper is twofold i) presenting image-based cyphering methods that can eciently be applied for securing the image transfer against consequences of image interceptions (e.g.; man-in-the-middle at- tacks) ii) presenting generic image-based analysis techniques that can be exploited for object recognition. Experimental results show end-to-end image-based solutions for fostering developments of surveillance systems and services in urban and vehicular environments.
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Dates et versions

hal-02184667 , version 1 (16-07-2019)

Identifiants

  • HAL Id : hal-02184667 , version 1

Citer

Karim Hammoudi, Mohammed Abu Taha, Halim Benhabiles, Mahmoud Melkemi, Feryal Windal, et al.. Image-based Ciphering of Video Streams and Object Recognition for Urban and Vehicular Surveillance Services. International Conference on Information and Computer Technology, Mar 2019, London, United Kingdom. 8 p. ⟨hal-02184667⟩
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