Occlusion-aware 3D multiple object tracker with two cameras for visual surveillance

Name: Occlusion-aware 3D multiple object tracker with two cameras for visual surveillance
Author: Topçu, O., Alatan, A. A., Ercan, Ali Özer

İsim	Occlusion-aware 3D multiple object tracker with two cameras for visual surveillance
Yazar	Topçu, O., Alatan, A. A., Ercan, Ali Özer
Basım Tarihi:	2014
Basım Yeri	- IEEE
Konu	Object tracking, Particle filtering (numerical methods), Probability, Video cameras, Video surveillance
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4799-4871-0
Kayıt Numarası	f1a16bc5-9157-45d7-8216-fccd8cfe23c2
Lokasyon	Electrical & Electronics Engineering
Tarih	2014
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	An occlusion-aware multiple deformable object tracker for visual surveillance from two cameras is presented. Each object is tracked by a separate particle filter tracker, which is initiated upon detection of a new person and terminated when s/he leaves the scene. Objects are considered as 3D points at their centre of masses as if their mass density is uniform. Point objects and corresponding silhouette centroids in two views together with the epipolar geometry they satisfy resulted in a practical tracking methodology. An occlusion filter is described, that provides the tracker filters conditional occlusion probabilities of the objects, given their estimated positions. Advances over the previous work; in the computation of conditional occlusion probabilities, in incorporation of these probabilities in the particle filter, and in maintaining tracking of separating objects after long periods of moving close-by, are presented on PETS 2006, PETS 2009 and EPFL datasets.
DOI	10.1109/AVSS.2014.6918644

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Occlusion-aware 3D multiple object tracker with two cameras for visual surveillance

Yazar Topçu, O., Alatan, A. A., Ercan, Ali Özer

Basım Tarihi 2014

Basım Yeri - IEEE

Konu Object tracking, Particle filtering (numerical methods), Probability, Video cameras, Video surveillance

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4799-4871-0

Kayıt Numarası f1a16bc5-9157-45d7-8216-fccd8cfe23c2

Lokasyon Electrical & Electronics Engineering

Tarih 2014

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin An occlusion-aware multiple deformable object tracker for visual surveillance from two cameras is presented. Each object is tracked by a separate particle filter tracker, which is initiated upon detection of a new person and terminated when s/he leaves the scene. Objects are considered as 3D points at their centre of masses as if their mass density is uniform. Point objects and corresponding silhouette centroids in two views together with the epipolar geometry they satisfy resulted in a practical tracking methodology. An occlusion filter is described, that provides the tracker filters conditional occlusion probabilities of the objects, given their estimated positions. Advances over the previous work; in the computation of conditional occlusion probabilities, in incorporation of these probabilities in the particle filter, and in maintaining tracking of separating objects after long periods of moving close-by, are presented on PETS 2006, PETS 2009 and EPFL datasets.

DOI 10.1109/AVSS.2014.6918644