Advanced search
Start date
Betweenand


Exploring structure for long-term tracking of multiple objects in sports videos

Full text
Author(s):
Morimitsu, Henrique ; Bloch, Isabelle ; Cesar-, Roberto M., Jr.
Total Authors: 3
Document type: Journal article
Source: COMPUTER VISION AND IMAGE UNDERSTANDING; v. 159, p. 16-pg., 2017-06-01.
Abstract

In this paper, we propose a novel approach for exploiting structural relations to track multiple objects that may undergo long-term occlusion and abrupt motion. We use a model-free approach that relies only on annotations given in the first frame of the video to track all the objects online, i.e. without knowledge from future frames. We initialize a probabilistic Attributed Relational Graph (ARG) from the first frame, which is incrementally updated along the video. Instead of using the structural information only to evaluate the scene, the proposed approach considers it to generate new tracking hypotheses. In this way, our method is capable of generating relevant object candidates that are used to improve or recover the track of lost objects. The proposed method is evaluated on several videos of table tennis, volleyball, and on the ACASVA dataset. The results show that our approach is very robust, flexible and able to outperform other state-of-the-art methods in sports videos that present structural patterns. (C) 2016 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 14/50135-2 - Learning salient elements from videos using structural and temporal information
Grantee:Roberto Marcondes Cesar Junior
Support Opportunities: Regular Research Grants
FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/08258-7 - High-level event characterization using graphs
Grantee:Henrique Morimitsu
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 12/09741-0 - Multiview object detection using keygraphs
Grantee:Henrique Morimitsu
Support Opportunities: Scholarships in Brazil - Doctorate