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» Eye Tracking Using Markov Models
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GW
2005
Springer
136views Biometrics» more  GW 2005»
14 years 1 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...
TITS
2008
250views more  TITS 2008»
13 years 7 months ago
Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video
This paper presents two different types of visual activity analysis modules based on vehicle tracking. The highway monitoring module accurately classifies vehicles into eight diffe...
Brendan Tran Morris, Mohan M. Trivedi
FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
13 years 11 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...
ICCV
2005
IEEE
14 years 1 months ago
HMM Based Falling Person Detection Using Both Audio and Video
Automatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance...
B. Ugur Töreyin, Yigithan Dedeoglu, A. Enis &...
ICMCS
2008
IEEE
211views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A real-time video surveillance system with human occlusion handling using nonlinear regression
This paper presents a real-time single-camera surveillance system, aiming at detecting and partly analyzing a group of people. A set of moving persons is segmented using a combina...
Jungong Han, Minwei Feng, Peter H. N. de With