Bi-label Propagation for Generic Multiple Object Tracking

In this paper, we propose a label propagation framework to handle the multiple object tracking (MOT) problem for a generic object type (cf. pedestrian tracking). Given a target object by an initial bounding box, all objects of the same type are localized together with their identities. We treat this...

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Bibliographic Details
Published in:	2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 1290 - 1297
Main Authors:	Wenhan Luo, Tae-kyun Kim, Stenger, Bjorn, Xiaowei Zhao, Cipolla, Roberto
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2014
Subjects:	clustered multi-task learning Computer vision Context Detectors Hidden Markov models Labels Multiple object tracking Object detection Pattern recognition Propagation State of the art Tasks Tracking Training Training data Trajectories Trajectory
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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