Skip to Main content Skip to Navigation
Conference papers

Video spatio-temporal filtering based on cameras and target objects trajectories - Videosurveillance forensic framework

Abstract : This paper presents our work about assisting video-surveillance agents in the search for particular video scenes of interest in transit network. This work has been developed based on requirements defined within different projects with the French National Police in a forensic goal. The video-surveillance agent inputs a query in the form of a hybrid trajectory (date, time, locations expressed with regards to different reference systems) and potentially some visual descriptions of the scene. The query processing starts with the interpretation of the hybrid trajectory and continues with a selection of a set of cameras likely to have filmed the spatial trajectory. The main contributions of this paper are: (1) a definition of the hybrid trajectory query concept, trajectory that is constituted of geometrical and symbolic segments represented with regards to different reference systems (e.g., Geodesic system, road network), (2) a spatio-temporal filtering framework based on a spatio-temporal modeling of the transit network and associated cameras.
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01343039
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Thursday, July 7, 2016 - 1:07:37 PM
Last modification on : Wednesday, June 9, 2021 - 10:00:32 AM
Long-term archiving on: : Saturday, October 8, 2016 - 11:23:47 AM

File

codreanu_15375.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01343039, version 1
  • OATAO : 15375

Citation

Dana Codreanu, André Péninou, Florence Sèdes. Video spatio-temporal filtering based on cameras and target objects trajectories - Videosurveillance forensic framework. 10 th International Conference on Availability, Reliability and Security (ARES 2015), Aug 2015, Toulouse, France. pp. 611-617. ⟨hal-01343039⟩

Share

Metrics

Record views

209

Files downloads

351