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15 - General Engineering

Heriot-Watt University (joint submission with University of Edinburgh)

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Output 353 of 376 in the submission

Article title

Tracking With a Hierarchical Partitioned Particle Filter and Movement Modelling

Type

D - Journal article

DOI

10.1109/TSMCB.2011.2157680

Title of journal

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Article number

Volume number

Issue number

First page of article

1571

ISSN of journal

1083-4419

Year of publication

2011

URL

Number of additional authors

Additional information

Although human tracking from video sequences is ubiquitous, this work is significant for two reasons. First it performed full articulated-tracking of the human body unlike the much more common tracking of fixed (or even deformable) templates. Second, here the tracked-torso and limb-positions were coupled with a behavioral model (output-4) that demonstrated action recognition. The software was fully evaluated by independent competition (http://vision.cs.brown.edu/humaneva/index.html), which showed joint tracking errors of the order of 10cm in complex, unseen video footage. This work has informed the software development for the current EU Locobot project (FP7 260101, €3.7M).

Interdisciplinary

Yes

Cross-referral requested

Research group

B - Sensors, Signals & Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract