M. J. Black, Y. Yacoob, S. X. Ju, Recognizing human motion using parameterized models of optical flow, in: M. Shah, R. Jain (Eds.), Motion-based Recognition, Kluwer, 1997. Home/Search Document Details and Download
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Segmenting Visual Actions Based on Spatio-Temporal Motion.. - Yong Rui And (2000) (8 citations) (Correct)
....the results of the psychological study. 1. Introduction 1.1. Background and motivation The analysis of human action captured in video sequences has been a topic of considerable interest in computer vision. The primary motivation has been the recognition of human action and activities (e.g. see [1, 2, 3] just to cite a few examples) Most researchers have preferred a strongly model based approach i.e. they have either focused on a few specific actions (e.g. 1, 2] or relied heavily on the scene and situational context to detect particular pattern of activities (e.g, see [3] for such an ....
....interest in computer vision. The primary motivation has been the recognition of human action and activities (e.g. see [1, 2, 3] just to cite a few examples) Most researchers have preferred a strongly model based approach i.e. they have either focused on a few specific actions (e.g. [1, 2]) or relied heavily on the scene and situational context to detect particular pattern of activities (e.g, see [3] for such an effort in the context of aerobics exercise) For the problem of recognition and detection of familiar actions and activities, this is perhaps the most sensible approach one ....
M. Black, Y. Yacoob, and X. S. Ju, Recognizing human motion using parameterized models of optical flow. Boston, MA: Kluwer Academic Publishers, 1997.
Virtual Keyboards - Taylor (1999) (Correct)
....use of display systems to provide real time feedback to the user during interaction. There is, of course, a large and growing body of literature devoted to the problem of tracking human motion in video imagery including recent work on the automatic interpretation of sign language by a computer [19, 18, 6, 3]. This paper does not address the problem of interpreting the users motion in 3D space. By restricting our attention to monitoring the users interaction with a 2D surface we drastically simplify the image analysis problem that must be solved. Smith, White, Dodge, Allport, Paradiso and Gershenfeld ....
M.J. Black, Y. Yacoob, and X. S. Ju. Recognizing human motion using parameterized models of optical flow. In Mubarak Shah and Ramesh Jain, editors, Motion-Based Recognition, pages 245--269. Kluwer Academic Publishers, Boston, 1997.
Human Tracking Using 3D Surface Colour Distributions - Roberts, McKenna, Ricketts (2003) (Correct)
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M. J. Black, Y. Yacoob, S. X. Ju, Recognizing human motion using parameterized models of optical flow, in: M. Shah, R. Jain (Eds.), Motion-based Recognition, Kluwer, 1997.
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