Proceedings ArticleDOI
Appearance management and cue fusion for 3D model-based tracking
N. Krahnstoever,Rajeev Sharma +1 more
- Vol. 2, pp 249-256
TLDR
This paper presents a systematic approach to acquiring model appearance information online for monocular model-based tracking and shows that the presented algorithm is able to robustly track a wide variety of targets under challenging conditions.Abstract:
This paper presents a systematic approach to acquiring model appearance information online for monocular model-based tracking. The acquired information is used to drive a set of complementary imaging cues to obtain a highly discriminatory observation model. Appearance is modeled as a Markov random field of color distributions over the model surface. The online acquisition process estimates appearance-based on uncertain image measurements and is designed to greatly reduce the chance of mapping non-object image data onto the model. Confidences about the different appearance driven imaging cues are estimated in order to adaptively balance the contributions of the different cues. The discriminatory power of the resulting model is good enough to allow long-duration single-hypothesis model-based tracking with no prior appearance information. Careful evaluation based on real and semi-synthetic video sequences shows that the presented algorithm is able to robustly track a wide variety of targets under challenging conditions.read more
Citations
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Proceedings ArticleDOI
Activity Recognition using Visual Tracking and RFID
TL;DR: A framework that combines visual human motion tracking with RFID based object tracking is proposed that enables the accurate estimation of high-level interactions between people and objects for application domains such as retail, home-care, workplace-safety, manufacturing and others.
Book ChapterDOI
Automated Person Identification in Video
Mark Everingham,Andrew Zisserman +1 more
TL;DR: Progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data, is described.
Patent
Visually tracking an object in real world using 2D appearance and multicue depth estimations
TL;DR: In this paper, the 2D image information is used to track a 2D position of the object as well as its 2D size of the appearance and change in the appearance of the objects.
Proceedings ArticleDOI
Articulated models from video
TL;DR: A model-acquisition framework for acquiring articulated models directly from monocular video that has in particular the ability to process human as well as non-human targets and makes no assumptions with respect to the structure of the kinematic tree or complexity.
Patent
Method and system for multi-modal component-based tracking of an object using robust information fusion
TL;DR: In this article, a system and method for tracking an object is disclosed, where a video sequence including a plurality of image frames are received and a sample based representation of object appearance distribution is maintained.
References
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Proceedings ArticleDOI
3-D model-based tracking of humans in action: a multi-view approach
Dariu M. Gavrila,Larry S. Davis +1 more
TL;DR: A vision system for the 3-D model-based tracking of unconstrained human movement and initial tracking results from a large new Humans-in-Action database containing more than 2500 frames in each of four orthogonal views are presented.