A survey of motion analysis from moving light displays
- 1 January 1994
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 214-221
- https://doi.org/10.1109/cvpr.1994.323832
Abstract
Motion-based recognition deals with the recognition of objects or motions directly from the motion information extracted from a sequence of images. There are two main steps in this approach. The first consists of finding an appropriate representation for the objects or motions, from the motion cues of the sequence, and then organize them into useful representations. The second step consists of the matching of some unknown input with a model. This paper provides a review of recent developments in motion-based recognition.Keywords
This publication has 22 references indexed in Scilit:
- A model problem in the representation of digital image sequencesPattern Recognition, 1993
- Knowledge-guided visual perception of 3-D human gait from a single image sequenceIEEE Transactions on Systems, Man, and Cybernetics, 1992
- Automatic optically-based recognition of speechPattern Recognition Letters, 1988
- A region based approach for human body motion analysisPattern Recognition, 1987
- Human body motion segmentation in a complex scenePattern Recognition, 1986
- Determination of 3D human body postures from a single viewComputer Vision, Graphics, and Image Processing, 1985
- Image sequence analysis of real world human motionPattern Recognition, 1984
- The minimum principle and the perception of absolute, common, and relative motionsCognitive Psychology, 1982
- Temporal and spatial factors in gait perception that influence gender recognitionPerception & Psychophysics, 1978
- Visual perception of biological motion and a model for its analysisPerception & Psychophysics, 1973