What are the different ways in which we can model a background image?

My aim is to detect an object using a thermal sensor. I have to detect objects in all environmental conditions and display the correct output like, for example,

"Vehicle is detected"

else

"Vehicle is not detected"

I have no idea what sort of algorithms should I go for. Kindly guide me for what shoould I search.

I would greatly appreciate if anyone can help me..

[Walter Roberson]

No one knows all of the ways. It is expected that new ways will continue to be invented for 100 or more years.

[sangeetha N]

Okay thankyou Walter sir. Glad to see your fast response.

I will be very glad if someone could explain whatever method they know atleast.

[Walter Roberson]

https://www.mathworks.com/help/driving/examples/train-a-deep-learning-vehicle-detector.html

https://www.mathworks.com/help/vision/examples/detecting-cars-using-gaussian-mixture-models.html?prodcode=VP&language=en

https://www.mathworks.com/matlabcentral/fileexchange/45419-vehicle-detection

https://www.mathworks.com/help/driving/ref/vehicledetectorfasterrcnn.html

https://www.mathworks.com/matlabcentral/fileexchange/62604-vehicle-detection-and-counting?focused=7547321&tab=function

[Image Analyst]

Going for the Most Tags Ever award?

[sangeetha N]

so that someone could help me

I am sorry but I am so stuck up.

[Walter Roberson]

We already helped you. You asked to be guided as to where to search, and I pointed you to five different vehicle tracking resources including some that had complete example code.

At this point you are going to need to start asking more specific questions.