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Hi,
it's a problem in array processing.
if you have a sensor network on e.g. an straight line by using N sonsor you can estimate direction of arrival for at most N moving object. first time it was solved in 1970s whit an ellegant algorithm MUSIC that used signal nulspace to estimate these DIA. you can search this paper in IEEE.
excuse me, I have forgot auther's name.
regards
what i want is to predict the possible trajectory of a moving object depending on its type.For example lets say that i had the algorithm to seperate a fast car from a bike, i want to predict the prospective trajectory and thus control the movement of the surveillance camera.What theory should i know in order to make the prediction?
Dear friend,
there are lots of method for tracking a moving object...one of them is using FSBM (full search block matching algorithm) in which we divide the image into a single search area and this inturn is divided into number of over lapping search blocks..we start by finding the sum of absolute difference(SAD) between reference frame and search frame...the block which has minimum SAD is the estimated block...computation can be greatly reduced if the search area is made adaptive.
regARDS,
Arunach
ekomninos said:
HI
I am intrested to know what methods can we use to predict the track of a moving object?
The easiest way is using the kalman filter for predicting the frame differences, i had used this earlier but still it turns out when the object is moving relatively fast.
You can try this out if it really works or u can adpot for the block based prediction using the regression model.
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