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Table 1 Features considered by the covariance descriptor depending on the application

From: Covariance tracking: architecture optimizations for embedded systems

Application

Feature setϕ(I,p) with p= (x,y)

Face tracking and recognition [9]

x y | I x | | I y | | I xx | | I yy | x y I | I x | | I y | | I xx | | I yy | θ ( x , y ) x y I g 00 ( x , y ) g 01 ( x , y ) g 74 ( x , y )

Pedestrian detection [16, 17]

x y | I x | | I y | I x 2 + I y 2 | I xx | | I yy | arctan | I x | | I y | x y | I x | | I y | I x 2 + I y 2 arctan | I x | | I y | G G x 2 + G y 2

Pedestrian tracking [5, 10, 11, 16] and [18]

x y R G B | I x | | I y | x y R G B | I x | | I y | | I xx | | I yy | x y H S V | I x | | I y | x y R G B Var LBP x y I sin ( LBP θ 0 ) cos ( LBP θ 0 ) sin ( LBP θ 1 ) cos ( LBP θ 1 ) x y R G B sin ( LBP θ 0 ) cos ( LBP θ 0 ) sin ( LBP θ 1 ) cos ( LBP θ 1 )