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» An appearance based approach for human and object tracking
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CVPR
2005
IEEE
16 years 10 hour ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
CVPR
2009
IEEE
16 years 5 months ago
Learning Based Automatic Face Annotation for Arbitrary Poses and Expressions from Frontal Images Only
Statistical approaches for building non-rigid deformable models, such as the Active Appearance Model (AAM), have enjoyed great popularity in recent years, but typically require ...
Akshay Asthana (Australian National University), R...
ICIP
2005
IEEE
15 years 11 months ago
A motion-based binary partition tree approach to video object segmentation
This paper describes an approach for generating Binary Partition Tree [7] representations and video object segmentations using a novel region merging strategy based on motion simi...
Camilo C. Dorea, Ferran Marqués, Montse Par...
CHI
2011
ACM
14 years 1 months ago
Geckos: combining magnets and pressure images to enable new tangible-object design and interaction
In this paper we present Geckos, a new type of tangible objects which are tracked using a Force-Sensitive Resistance sensor. Geckos are based on low-cost permanent magnets and can...
Jakob Leitner, Michael Haller
ICPR
2004
IEEE
15 years 11 months ago
Probabilistic People Tracking for Occlusion Handling
This work presents a novel people tracking approach, able to cope with frequent shape changes and large occlusions. In particular, the tracks are described by means of probabilist...
Rita Cucchiara, Costantino Grana, Giovanni Tardini...