Ev ve Ofis taşıma sektöründe lider olmak.Teknolojiyi takip ederek bunu müşteri menuniyeti amacı için kullanmak.Sektörde marka olmak.
İstanbul evden eve nakliyat
Misyonumuz sayesinde edindiğimiz müşteri memnuniyeti ve güven ile müşterilerimizin bizi tavsiye etmelerini sağlamak.
Presented by: Ju Han
Abstract: Current gait recognition approaches only consider
individuals walking frontoparallel to the image plane. This
makes them inapplicable for recognizing individuals walking
from different angles with respect to the image plane. In
this report, we propose a kinematic-based approach to recognize
individuals by gait. The proposed approach estimates 3D human
walking parameters by performing a least squares fit of the
3D kinematic model to the 2D silhouette extracted from a monocular
image sequence. A Genetic algorithm is used for feature selection
from the estimated parameters, and the individuals are then
recognized from the feature vectors using a nearest neighbor
method. Experimental results show that the proposed approach
achieves good performance in recognizing individuals walking
from different angles with respect to the image plane.
|
