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This reminds me of an algorithm to detect forgotten objects on a subway. If I'm not wrong you want to detect objects that are not moving AND that were not on the initial background right? You can apply this approach: With an initial image like this (couldn't find a truly empty subway image): <img src="https://i.stack.imgur.com/M4Tkj.png" alt="enter image description here"> And an image with an added static object (the waste can), the subway moving, and a person waiting, probably moving a little: <img src="https://i.stack.imgur.com/ju0Q5.png" alt="enter image description here"> After a Image>ThresholdDifference (<a href="http://www.aforgenet.com/framework/docs/html/322123cf-39df-0ae8-6434-29cceb6a54e1.htm" rel="nofollow noreferrer">http://www.aforgenet.com/framework/docs/html/322123cf-39df-0ae8-6434-29cceb6a54e1.htm</a>) we will get something like: <img src="https://i.stack.imgur.com/oJEiN.png" alt="enter image description here"> Note how the waste can appears along with other objects that were not there. If you apply this similar process several times, let say every 10 seconds and then a Image>Intersect (<a href="http://www.aforgenet.com/framework/docs/html/7244211d-e882-09b1-965d-f820375af8be.htm" rel="nofollow noreferrer">http://www.aforgenet.com/framework/docs/html/7244211d-e882-09b1-965d-f820375af8be.htm</a>) you will end with something like this after a few minutes: <img src="https://i.stack.imgur.com/iYgjY.png" alt="enter image description here"> You can easily get the coordinates of this object with a Image>Connected Component Labeling (<a href="http://www.aforgenet.com/framework/docs/html/240525ea-c114-8b0a-f294-508aae3e95eb.htm" rel="nofollow noreferrer">http://www.aforgenet.com/framework/docs/html/240525ea-c114-8b0a-f294-508aae3e95eb.htm</a>) Drawbacks of this approach: <ul> <li>Needs some time (minutes if you take a snapshot every 10 seconds, seconds for more frequent snapshots) to detect the objects.</li> <li>Will take even more time to detect an object that has a similar color than the background, you can easily notice this drawback in the upper part of the can, which is also white, like the wall.</li> </ul>
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