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» Human Activity Recognition Using Local Shape Descriptors
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ICBA
2004
Springer
207views Biometrics» more  ICBA 2004»
14 years 1 months ago
Dynamic Local Feature Analysis for Face Recognition
This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for human face recognition. In our proposed method, the face shape and the facial texture informa...
Johnny Ng, Humphrey Cheung
ECCV
2002
Springer
14 years 9 months ago
Recognizing and Tracking Human Action
Human activity can be described as a sequence of 3D body postures. The traditional approach to recognition and 3D reconstruction of human activity has been to track motion in 3D, m...
Josephine Sullivan, Stefan Carlsson
ACCV
2010
Springer
13 years 2 months ago
On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data
The ability of recognizing object categories in 3D data is still an underdeveloped topic. This paper investigates on adopting Implicit Shape Models (ISMs) for 3D categorization, th...
Samuele Salti, Federico Tombari, Luigi di Stefano
PERVASIVE
2010
Springer
14 years 23 days ago
Active Capacitive Sensing: Exploring a New Wearable Sensing Modality for Activity Recognition
Abstract. The paper describes the concept, implementation, and evaluation of a new on-body capacitive sensing approach to derive activity related information. Using conductive text...
Jingyuan Cheng, Oliver Amft, Paul Lukowicz
ATAL
2007
Springer
14 years 1 months ago
Towards using multiple cues for robust object recognition
A robot’s ability to assist humans in a variety of tasks, e.g. in search and rescue or in a household, heavily depends on the robot’s reliable recognition of the objects in th...
Sarah Aboutalib, Manuela M. Veloso