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» Selecting relevant features for human motion recognition
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ICCV
2005
IEEE
14 years 1 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
PR
2000
120views more  PR 2000»
13 years 7 months ago
On internal representations in face recognition systems
This survey compares internal representations of the recent as well as more traditional face recognition techniques to classify them into several broad categories. The categories ...
Maxim A. Grudin
NIPS
2007
13 years 9 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
13 years 9 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
AVBPA
2001
Springer
145views Biometrics» more  AVBPA 2001»
14 years 6 days ago
Automatic Gait Recognition by Symmetry Analysis
We describe a new method for automatic gait recognition based on analysing the symmetry of human motion, by using the Generalised Symmetry Operator. This operator, rather than rely...
James B. Hayfron-Acquah, Mark S. Nixon, John N. Ca...