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» Object Labelling from Human Action Recognition
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ECAI
2004
Springer
15 years 9 months ago
Avatars That Learn How to Behave
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Adam Szarowicz, Paolo Remagnino
98
Voted
BMVC
2001
15 years 6 months ago
Finding Paths in Video Sequences
This paper investigates the task of identifying frequently-used pathways from video sequences of natural outdoor scenes. Path models are adaptively learnt from the accumulation of...
Dimitrios Makris, Tim Ellis
87
Voted
ECCV
2008
Springer
16 years 5 months ago
Some Objects Are More Equal Than Others: Measuring and Predicting Importance
We observe that everyday images contain dozens of objects, and that humans, in describing these images, give different priority to these objects. We argue that a goal of visual rec...
Merrielle Spain, Pietro Perona
143
Voted
MM
2006
ACM
175views Multimedia» more  MM 2006»
15 years 9 months ago
Real-time automatic 3D scene generation from natural language voice and text descriptions
Automatic scene generation using voice and text offers a unique multimedia approach to classic storytelling and human computer interaction with 3D graphics. In this paper, we pre...
Lee M. Seversky, Lijun Yin
160
Voted
HAPTICS
2002
IEEE
15 years 8 months ago
Building a Task Language for Segmentation and Recognition of User Input to Cooperative Manipulation Systems
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...