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H. Pylkko

dblp:97/1929 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Video understanding and tracking · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › object tracking › appearance-based tracking
color-based tracking		 0.012001
Real-Time Color-Based Tracking via a Marker Interface · ICRA 2001
Computer vision › Video understanding and tracking
object tracking		 0.012001
Real-Time Color-Based Tracking via a Marker Interface · ICRA 2001
Human-robot interaction › human-robot interface
mobile robot interaction		 0.012001
Real-Time Color-Based Tracking via a Marker Interface · ICRA 2001

Methods — techniques the papers use, named apart from their topics

marker-based tracking · 0.1color segmentation · 0.1
YearPublicationVenuePosition
2001 Real-Time Color-Based Tracking via a Marker Interface
abstract
Presents a general architectural solution for concurrent real-time color-based tracking of multiple objects. The presented architecture, called Cocoa, is suggested for a mobile robot interacting with humans. The main contributions of the architecture are markers and color judges. Markers are a situated representation of the robot's environment. Color judges separate color-based segmentation methods from the process of labeling images. Furthermore, methodology for coping with objects entering and leaving the robot's field of view is suggested. Tracking experiments performed with a system implemented on a Nomad XR4000 robot are presented as well.
H. Pylkko, Jukka Riekki, Juha Röning
 ICRA1