Since the data acquired by a PTZ camera change while adjusting the pan, tilt and zoom parameters, the results of tracking algorithms are difficult to reproduce; such diffi- culty limits the development and the comparison of tracking algorithms with PTZ cameras. The recently introduced 360- degree cameras acquire spherical views of the environment, generally stored as equirectangular images. Each pixel of an equirectangular image corresponds to a point on the spherical surface. A gnomonic projection can be used to project the points on the spherical surface onto a plane tangent to the sphere. Such tangent plane can be interpreted as the image plane of a virtual PTZ camera oriented towards the point of tangency. This paper proposes a framework to simulate PTZ cameras from 360-degree video enabling, in this way, the development and comparison of PTZ-based tracking algorithms. Furthermore, within the above mentioned framework, this paper presents a novel pedestrian tracking algorithm for 360- degree videos. The proposed algorithm aims at estimating the pan, tilt and zoom parameters required to control the virtual camera in such a way that the target is always at the center of the virtual camera view. The proposed method belongs to the category of tracking-by-detection algorithms; it also exploits the use of a dynamic memory to store the appearance models of the best past target detections. Preliminary results on a publicly available benchmark demonstrate the viability of the proposed approach.
Monteleone, V., Lo Presti, L., & La Cascia, M. (2018). Pedestrian Tracking in 360 Video by Virtual PTZ Cameras. In Proceedings of IEEE 4th International Forum on Research and Technologies for Society and Industry (pp.1-6). IEEE.
|Autori:||Monteleone, V.; Lo Presti, L.; La Cascia, M.|
|Titolo:||Pedestrian Tracking in 360 Video by Virtual PTZ Cameras|
|Settore Scientifico Disciplinare:||Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni|
|Data di creazione:||2018-09-11|
|Nome del convegno:||IEEE 4th International Forum on Research and Technologies for Society and Industry|
|Luogo del convegno:||Palermo|
|Anno del convegno:||10-13 September 2018|
|Data di pubblicazione:||2018|
|Numero di pagine:||6|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/RTSI.2018.8548499|
|Citazione:||Monteleone, V., Lo Presti, L., & La Cascia, M. (2018). Pedestrian Tracking in 360 Video by Virtual PTZ Cameras. In Proceedings of IEEE 4th International Forum on Research and Technologies for Society and Industry (pp.1-6). IEEE.|
|Tipologia:||0 - Proceedings (TIPOLOGIA NON ATTIVA)|
|Appare nelle tipologie:||0 - Proceedings (TIPOLOGIA NON ATTIVA)|