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 [10.1109/RTSI.2018.8548499].

Pedestrian Tracking in 360 Video by Virtual PTZ Cameras

Monteleone, Vito
;
Lo Presti, Liliana;La Cascia, Marco
2018-01-01

Abstract

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.
2018
978-1-5386-6282-3
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 [10.1109/RTSI.2018.8548499].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/349732
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