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Ahmed Elgammal, Bodo Rosenhahn and Reinhard Klette
Front matter
1-15
Marker-Less 3D Feature Tracking for Mesh-Based Human Motion Capture
16-27
Boosted Multiple Deformable Trees for Parsing Human Poses
28-41
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
42-57
Multi-activity Tracking in LLE Body Pose Space
58-73
Exploiting Spatio-temporal Constraints for Robust 2D Pose Tracking
74-87
Efficient Upper Body Pose Estimation from a Single Image or a Sequence
88-103
Real-Time and Markerless 3D Human Motion Capture Using Multiple Views
104-118
Modeling Human Locomotion with Topologically Constrained Latent Variable Models
119-135
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
136-151
3D Hand Tracking in a Stochastic Approximation Setting
152-165
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
166-179
Multi Person Tracking Within Crowded Scenes
180-195
Joint Appearance and Deformable Shape for Nonparametric Segmentation
196-211
Robust Spectral 3D-Bodypart Segmentation Along Time
212-224
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking
225-239
An Ease-of-Use Stereo-Based Particle Filter for Tracking Under Occlusion
240-254
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
255-270
Recognizing Activities with Multiple Cues
271-284
Human Action Recognition Using Distribution of Oriented Rectangular Patches
285-298
Human Motion Recognition Using Isomap and Dynamic Time Warping
299-312
Behavior Histograms for Action Recognition and Human Detection
313-327
Learning Actions Using Robust String Kernels
Back matter
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