How can I distinguish moving objects and standstill objects?

Hello, I want to distinguish moving objects and standstill objects 
and I've built up 2 systems for this; one is background subtraction 
to compare current frames with the initial background image and the 
other is motion detection to compare consecutive frames. 

If there is only one object in the images, it could be recognised if 
the object is moving or standing, but I've got no idea which method 
would be the best to detect any standstill object among several 
objects in the scene. 

I've tried cvMatchShapes to compare the background-subtracted image 
and the previous-frame-subtracted image, and the result when there 
was only one moving object looked very similar to the one when there 
were one moving object and one standstill object, even though those 
two objects have a different shape.

For another way, I kept the rectangles bounding the contours of 
background-subtracted image and checked if there's any noticeable 
difference between consecutive frames within those rectangles by 
using cvSetImageROI. An object-bounding-rectangle contains some area 
which doesn't belong to the object area, but it keeps the position 
information and I thought it would be useful. Anyhow, I didn't get 
any right result using this way.

I only need to if there is any standstill objects among several 
objects in a scene. I don't have to identify each object. What would 
be the most occurate way to do this? What I think is to find any 
noticeable area which was detected by the background subtraction but 
doesn't show up in the motion detection result.

Please give me any idea. I've just run into some functions which 
might be useful like HaarClassifier and OpticalFlow, but they looked 
too complicated to this task which may be sorted out easily. 

Thank you very much in advance!





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