Axial representations of shape
Computer Vision, Graphics, and Image Processing
Human body motion segmentation in a complex scene
Pattern Recognition
A region based approach for human body motion analysis
Pattern Recognition
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Parallel Architectures and Computer Vision
Stationary background generation: an alternative to the difference of two images
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On characterizing ribbons and finding skewed symmetries
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The background primal sketch: an approach for tracking moving objects
Machine Vision and Applications
Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Digital Representations of Human Movement
ACM Computing Surveys (CSUR)
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Understanding body postures of human stick figures
Understanding body postures of human stick figures
First sight: towards a system in human body motion recognition and understanding
First sight: towards a system in human body motion recognition and understanding
Cell Migration Analysis After In Vitro WoundingInjury with a Multi-Agent Approach
Artificial Intelligence Review
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
Human Activity Recognition Using Multidimensional Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human motion estimation from monocular image sequence based on cross-entropy regularization
Pattern Recognition Letters
Real-Time Human Motion Analysis Based on Analysis of Silhouette Contour and Color Blob
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
Robust tracking of human body parts for collaborative human computer interaction
Computer Vision and Image Understanding
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Remote Video Monitoring Over the WWW
Multimedia Tools and Applications
International Journal of Computer Vision
Human action-recognition using mutual invariants
Computer Vision and Image Understanding
Marker-free kinematic skeleton estimation from sequences of volume data
Proceedings of the ACM symposium on Virtual reality software and technology
View Invariance for Human Action Recognition
International Journal of Computer Vision
Video-guided motion synthesis using example motions
ACM Transactions on Graphics (TOG)
A VR-based hyper interaction platform
Proceedings of the 38th conference on Winter simulation
Human Pose Estimation Using Partial Configurations and Probabilistic Regions
International Journal of Computer Vision
A real-time model-based human motion tracking and analysis for human computer interface systems
EURASIP Journal on Applied Signal Processing
Stereo camera based real-time human torso pose detection
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Real-time human motion analysis for human-machine interface
Proceedings of the Working Conference on Advanced Visual Interfaces
Human action-recognition using mutual invariants
Computer Vision and Image Understanding
IEEE Transactions on Information Technology in Biomedicine
Visual affect recognition
Comparative study of people detection in surveillance scenes
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Human action recognition employing negative space features
Journal of Visual Communication and Image Representation
Fast action recognition using negative space features
Expert Systems with Applications: An International Journal
Human Activity Recognition Using Gait Pattern
International Journal of Computer Vision and Image Processing
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First Sight, a vision system in labeling the outline of a moving human body, is proposed in this paper. The emphasis of First Sight is on the analysis of motion information gathered solely from the outline of a moving human object. Two main processes are implemented in First Sight. The first process uses a novel technique to extract the outline of a moving human body from an image sequence. The second process, which employs a new human body model, interprets the outline and produces a labeled two-dimensional human body stick figure for each frame of the image sequence. Extensive knowledge of the structure, shape, and posture of the human body is used in the model. The experimental results of applying the technique on unedited image sequences with self-occlusions and missing boundary lines are encouraging.