Báo cáo sinh học: " Research Article A Hierarchical Estimator for Object Tracking" pot

... that is, a camera pair. The local estimate performed its Kalman filter with the estimated state and the Kalman gain was updated. Each output of the local estimator was sent to the global estimator. ... con- sists of Local Estimator and Global Estimator, as shown in Figure 1. Local Estimator uses data association and the Kalman filter for estimating the 3D position of the object us...

Ngày tải lên: 21/06/2014, 16:20

... beta and gamma functions via some classical and new integral inequalities,” Journal of Inequalities and Applications, vol. 5, no. 2, pp. 103– 165, 2000. 14 H. Alzer, A mean-value inequality for ... Selliah, “An inequality satisfied by the gamma function,” Canadian Mathematical Bulletin, vol. 19, no. 1, pp. 85–87, 1976. 21 W. Gautschi, A harmonic mean inequality for the gamma function...

Ngày tải lên: 22/06/2014, 02:20

... These include simulated imagery for quantitative analysis and real infrared video for qualitative analysis. Copyright © 2007 R. C. Hardie and D. R. Droege. This is an open access article distributed ... Another approach is based on the assump- tion that the output of each detector should exhibit a con- stant range of values [14]. A Kalman filter-based approach 4 EURASIP Journal on Ad...

Ngày tải lên: 22/06/2014, 19:20

... numbers and its derivatives,” Journal of Mathematical Analysis and Applications, vol. 339, no. 1, pp. 598–608, 2008. 13 T. Kim, “On the analogs of Euler numbers and polynomials associated with p-adic ... two variables,” Advanced Studies in Contemporary Mathematics, vol. 14, no. 1, pp. 49–68, 2007. 2 L C. Jang, “On a q-analogue of the p-adic generalized twisted L-functions and p-adic q-i...

Ngày tải lên: 21/06/2014, 16:20

... interval 0, 1 from the Cauchy data pairs g,h located at x  1. Of course, since g and h are assumed to be measured, there must be measurement errors, and we would actually have noisy data function ... the interval 1,L. Hence it is natural to assume knowledge about u at a second point. Let us summarize what we have so far. The constant C in Lemma 2.4 is unchanged. The propagated data e...

Ngày tải lên: 21/06/2014, 16:20

... multiplicity of solutions and S-shaped bifurcation curves for the p-Laplacian perturbed Gelfand problem in one space variable,” Journal of Mathematical Analysis and Applications, vol. 342, no. 2, ... Differential Equations Conference, pp. 311–322, Southwest Texas State University, San Marcos, Tex, USA. 10 J. R. Parks, “Criticality criteria for various configurations of a self-heating ch...

Ngày tải lên: 21/06/2014, 16:20

... d l d d Technical ȱ Program ȱ Co Chairs JavierȱHernandoȱ(UPC) MontserratȱPardàsȱ(UPC) PlenaryȱTalks FerranȱMarquésȱ(UPC) YoninaȱEldarȱ(Technion) SpecialȱSessions IgnacioȱSantamar a (Unversidadȱ deȱCantabria) MatsȱBengtssonȱ(KTH) Finances Montserrat ... Boolean function f in (3)hasno redundant variables. For example, in the logical function h (a, b) = a (b∨¬b), h (a, 0) = h (a, 1) holds. So...

Ngày tải lên: 21/06/2014, 16:20

... pages doi:10.1155/2010/746021 Research Article A New-Fangled FES-k -Means Clustering Algorithm for Disease Discovery and Visual Analytics Tonny J. Oyana GIS Research Laboratory for Geographic Medicine, Advanced Geospatial ... step, and η(t)is the adaptation rate. The adaptation rate, η(t), can be selected in a number of ways. Conventional formulas for η(t)are a variable adap...

Ngày tải lên: 21/06/2014, 16:20

... saturate at K = 5 (Caltech) and 7 (Pascal). We can understand this because the appearance variation of objects for Pascal is larger than that for Caltech. However, we can choose K = 5 as a constant setting ... the experiments, object areas were clipped from the images as target images using the object area information available in the dataset, because these datasets do not assume th...

Ngày tải lên: 21/06/2014, 16:20

... discriminant analysis. LDA and MPCA have different advantages and disadvantages, which result from the fact that each method assumes different characteristics for data distributions. LDA can analyze clusters ... subspace algorithm [12] and a direct L DA algorithm [13], were proposed. 3. Limitat i ons of Multifactor Analysis and Discriminant Analysis LDA and MPCA have different advantages and...

Ngày tải lên: 21/06/2014, 16:20