Particle Filtering for Tracking in 360 Degrees Videos Using Virtual PTZ Cameras

Research output: Chapter in Book/Report/Conference proceedingChapter


360 degrees cameras are devices able to record spherical images of the environment. Such images can be used to generate views of the scene by projecting the spherical surface onto planes tangent to the sphere. Each of these views can be considered as the output of a virtual PTZ (vPTZ) camera with specific pan, tilt and zoom parameters. This paper proposes to formulate the visual tracking problem as the one of selecting, at each time, the vPTZ camera to foveate on the target from the unlimited set of simultaneously generated vPTZ camera views. Assuming that the selected vPTZ camera is a stochastic variable, the paper proposes to model the posterior distribution of the underlying stochastic process by means of a set of particles each representing a vPTZ camera view. Experiments on a publicly available dataset show that the proposed tracking strategy is viable and achieves state-of-the-art performance.
Original languageEnglish
Title of host publicationImage Analysis and Processing – ICIAP 2019; LNCS 11751
Number of pages11
Publication statusPublished - 2019

Publication series


All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Particle Filtering for Tracking in 360 Degrees Videos Using Virtual PTZ Cameras'. Together they form a unique fingerprint.

Cite this