Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Virtual View Generation for 3D Digital Video
IEEE MultiMedia
A multibaseline stereo system with active illumination and real-time image acquisition
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Face detection by fuzzy pattern matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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Multimedia Systems - Special issue on multimedia and multisensory virtual worlds
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Video-guided motion synthesis using example motions
ACM Transactions on Graphics (TOG)
DEVS-based modeling of a human motion data synthesis and control system
Proceedings of the 2010 Summer Computer Simulation Conference
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This paper introduces a model based approach in acquiring motion of human body from a video image sequence. A model can not only helprecognition of a human in the images, but also save the cost in 3D sensing. A 3D human model which has thefunction of articulate motion and changeable size, color and surface shape is provided The model can be driven either automatically or manually through a graphics interface. We first fit the model tosome particular frames so as to yield a personal model The matching of the personal model with the imagesequence for extracting human motion starts from matching key frames. The motion between key frames is interpolated We are building a system in generating motion for multimedia, virtual world, and animation.