2.1 Non-vision based tracking................................. 4 2.2 Vision based tracking with markers............................. 5
|
3215
|
C4.5: Programs for Machine Learning
– Quinlan
- 1993
|
|
720
|
Pfinder: Realtime tracking of the human body
– Wren, Azarbayejani, et al.
- 1997
|
|
563
|
Using Language
– Clark
- 1996
|
|
447
|
Contour tracking by stochastic propagation of conditional density
– Isard, Blake
- 1996
|
|
311
|
Visual analysis of human movement: A survey
– Gavrila
- 1999
|
|
277
|
Representation and recognition of the spatial organization of three-dimensional shapes
– Marr, Nishihara
- 1978
|
|
192
|
A framework for spatiotemporal control in the tracking of visual contours
– Blake, Curwen, et al.
- 1993
|
|
182
|
Stochastic tracking of 3D human figures using 2D image motion
– Sidenbladh, Black, et al.
- 2000
|
|
179
|
Model-based tracking of selfoccluding articulated objects
– Rehg, Kanade
- 1995
|
|
170
|
Model-based vision: a program to see a walking person
– Hogg
- 1983
|
|
157
|
Human motion analysis: a review
– Aggarwal, Cai
- 1997
|
|
146
|
Towards model-based recognition of human movements in image sequences
– Rohr
- 1994
|
|
122
|
Artificial Intelligence and Tutoring Systems
– Wenger
- 1987
|
|
111
|
M.J.: Parameterized Modeling and Recognition of Activities
– Yacoob, Black
- 1999
|
|
100
|
An efficient method for contour tracking using active shape models
– Baumberg, Hogg
- 1994
|
|
95
|
Intelligent tutoring systems
– Sleeman, Brown
- 1982
|
|
88
|
On-line student modelling for coached problem solving using Bayesian networks
– Conati, Gertner, et al.
- 1997
|
|
88
|
Analyzing and recognizing walking figures in xyt
– Niyogi, Adelson
- 1994
|
|
87
|
Bypassing the intractable problem of student modelling. Intelligent Tutoring Systems
– Self
- 1988
|
|
83
|
Implicit probabilistic models of human motion for synthesis and tracking. ECCV
– Sidenbladh, Black, et al.
- 2002
|
|
76
|
Adaptive and intelligent technologies for Web-based education
– Brusilovsky
- 1999
|
|
73
|
Covariance scaled sampling for monocular 3d body tracking
– Sminchisescu, Triggs
- 2001
|
|
72
|
Low level recognition of human motion
– Polana, Nelson
- 1994
|
|
64
|
A Survey of Glove-Based Input
– Sturman, Zeltzer
- 1994
|
|
61
|
Image sequence analysis of real world human motion
– Akita
- 1994
|
|
60
|
D.J.Fleet. Learning parameterized models of image motion
– Black, Yacoob
- 1997
|
|
59
|
View-based interpretation of realtime optical flow for gesture recognition
– Cutler, Turk
- 1998
|
|
59
|
Real-time human motion analysis by image skeletonization
– Fujiyoshi, Lipton
- 1998
|
|
54
|
Visiual motion perception
– Johansson
- 1975
|
|
52
|
Adaptive Educational Systems on the World-Wide-Web: A Review of Available Technologies. Paper presented at the Workshop "WWW-Based Tutoring
– Brusilovsky
- 1998
|
|
52
|
Monocular tracking of the human arm in 3D
– Goncalves, Bernardo, et al.
- 1995
|
|
50
|
Constraint-based student modelling
– Ohlsson
- 1994
|
|
49
|
Generating context-sensitive responses to object-related misconceptions
– McCoy
- 1989
|
|
48
|
3d motion recovery via affine epipolar geometry
– Shapiro, Zisserman, et al.
- 1995
|
|
47
|
Effective tutoring techniques: A comparison of human tutors and intelligent tutoring systems
– Merrill, Reiser, et al.
- 1992
|
|
45
|
Procedural help in Andes: Generating hints using a Bayesian network student model
– Gertner, Conati, et al.
- 1998
|
|
45
|
Hinting as a tactic in one-on-one tutoring
– Hume, Michael, et al.
- 1996
|
|
45
|
Towards detection of human motion
– Song, Feng, et al.
- 2000
|
|
44
|
Computer vision for computer games
– Freeman, Roth
- 1996
|
|
43
|
User Modelling in Text Generation
– Paris
- 1993
|
|
37
|
Knowledge-guided visual perception of 3-D human gait from a single image sequence
– Chen, Lee
- 1992
|
|
37
|
P.: Human body model acquisition and tracking using voxel data
– Mikic, Trivedi, et al.
- 2003
|
|
36
|
Some principles of intelligent tutoring
– Ohlsson
- 1987
|
|
36
|
Tracking human motion using multiple cameras
– Cai, Aggrwal
- 1996
|
|
36
|
Randomness Requirements for Security
– Eastlake, Schiller, et al.
- 2005
|
|
32
|
Rigid registration of 3D ultrasound with MR images: a new approach combining intensity and gradient information
– Roche, Pennec, et al.
- 2001
|
|
32
|
Internet X.509
– Housley, Polk, et al.
- 2002
|
|
31
|
Learning to parse pictures of people
– Ronfard, Schmid, et al.
- 2002
|
|
29
|
Generating spatiotemporal models from examples
– Baumberg, Hogg
- 1995
|
|
26
|
Interaction of Discourse Planning, Instructional Planning and Dialogue Management in an Interactive Tutoring System
– Freedman
- 1996
|
