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NIPS
2007
14 years 11 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
HUC
2007
Springer
15 years 3 months ago
A Long-Term Evaluation of Sensing Modalities for Activity Recognition
We study activity recognition using 104 hours of annotated data collected from a person living in an instrumented home. The home contained over 900 sensor inputs, including wired r...
Beth Logan, Jennifer Healey, Matthai Philipose, Em...
PR
2008
145views more  PR 2008»
14 years 9 months ago
Gesture spotting with body-worn inertial sensors to detect user activities
We present a method for spotting sporadically occurring gestures in a continuous data stream from body-worn inertial sensors. Our method is based on a natural partitioning of cont...
Holger Junker, Oliver Amft, Paul Lukowicz, Gerhard...
BLISS
2008
IEEE
15 years 4 months ago
The Cow Gait Recognition Using CHLAC
This paper reports the preliminary experiments on the cow identification via gait recognition of motion images. The eight cows walking under two different situations have been pr...
Shu Mimura, Keichi Itoh, Takumi Kobayashi, Tomohir...
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MMS
2006
14 years 9 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld