6,706 research outputs found

    Capturing the relative distribution of features for action recognition

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    This paper presents an approach to the categorisation of spatio-temporal activity in video, which is based solely on the relative distribution of feature points. Introducing a Relative Motion Descriptor for actions in video, we show that the spatio-temporal distribution of features alone (without explicit appearance information) effectively describes actions, and demonstrate performance consistent with state-of-the-art. Furthermore, we propose that for actions where noisy examples exist, it is not optimal to group all action examples as a single class. Therefore, rather than engineering features that attempt to generalise over noisy examples, our method follows a different approach: We make use of Random Sampling Consensus (RANSAC) to automatically discover and reject outlier examples within classes. We evaluate the Relative Motion Descriptor and outlier rejection approaches on four action datasets, and show that outlier rejection using RANSAC provides a consistent and notable increase in performance, and demonstrate superior performance to more complex multiple-feature based approaches

    Application of remote sensing to selected problems within the state of California

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    There are no author-identified signficant results in this report

    Application of remote sensing to selected problems within the state of California

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    There are no author-identified significant results in this report

    Towards a modeling of the time dependence of contact area between solid bodies

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    I present a simple model of the time dependence of the contact area between solid bodies, assuming either a totally uncorrelated surface topography, or a self affine surface roughness. The existence of relaxation effects (that I incorporate using a recently proposed model) produces the time increase of the contact area A(t)A(t) towards an asymptotic value that can be much smaller than the nominal contact area. For an uncorrelated surface topography, the time evolution of A(t)A(t) is numerically found to be well fitted by expressions of the form [A()A(t)](t+t0)qA(\infty)-A(t)]\sim (t+t_0)^{-q}, where the exponent qq depends on the normal load FNF_N as qFNβq\sim F_N^{\beta}, with β\beta close to 0.5. In particular, when the contact area is much lower than the nominal area I obtain A(t)/A(0)1+Cln(t/t0+1)A(t)/A(0) \sim 1+C\ln(t/t_0+1), i.e., a logarithmic time increase of the contact area, in accordance with experimental observations. The logarithmic increase for low loads is also obtained analytically in this case. For the more realistic case of self affine surfaces, the results are qualitatively similar.Comment: 18 pages, 9 figure
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