Tracking Objects Based on Multiple Particle Filters for Multipart Combined Moving Directions Information

Algorithm 8

Calculate the likelihood of the image on the hypothesis of the state of the object.

	Input: Observation image, hypothesis, vector of object in the first image, strong classification F.
	Output: Likelihood
	Step 1: Extract image area in rectangle ,
	Step 2: Resize image h for the size of the object in the first image
	Step 3:
	Extract feature HOG on h,
	Extract feature Haar-like on h,
	Step 4: Calculate classification point by Algorithm 7
	Step 5: Calculate