An Efficient Feature Selection Method for Video-Based Activity Recognition Systems

Algorithm 1

Procedures of quantization.

	Input: Y, I(1...K), and
	Output: Z, and J(1...K)
	begin
	Let Z = 2
	while 1 do
	Max^Er = −1e + 8
	for x = 1 to K do
	lower = min(I(x))
	upper = max(I(x))
	Step = (upper−lower)/Z
	Fac = [lower:Step:upper]
	BC = [lower-Step, lower:Step:
	upper][J(x), Q^Er] =
	Quantiz(I(x)), Divider, BC
	if Q^Er > Max^Erthen
	Max^Er = Q^Er
	end
	end
	if Max^Er < then
	Break
	end
	Z = K + 1
	end
	end