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» Context-Aided Human Recognition - Clustering
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205
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ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
16 years 18 days ago
HMM-Based Deception Recognition from Visual Cues
Behavioral indicators of deception and behavioral state are extremely difficult for humans to analyze. This research effort attempts to leverage automated systems to augment human...
Gabriel Tsechpenakis, Dimitris N. Metaxas, Mark Ad...
CVPR
2009
IEEE
17 years 2 months ago
Actions in context
This paper exploits the context of natural dynamic scenes for human action recognition in video. Human actions are frequently constrained by the purpose and the physical propert...
Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cor...
208
Voted
ATAL
2007
Springer
16 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
ISW
2004
Springer
16 years 10 days ago
Image Recognition CAPTCHAs
CAPTCHAs are tests that distinguish humans from software robots in an online environment [3, 14, 7]. We propose and implement three CAPTCHAs based on naming images, distinguishing ...
Monica Chew, J. D. Tygar
164
Voted
3DPVT
2002
IEEE
15 years 12 months ago
A Model (In)Validation Approach to Gait Recognition
This paper addresses the problem of human gait recognition by applying model (in)validation techniques. The main idea is to associate to each class of gaits a nominal model and a ...
Cecilia Mazzaro, Mario Sznaier, Octavia I. Camps, ...