How to handle occlusion?

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Himanshu 2014-11-27

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编辑： Himanshu 2014-12-12

Can anyone guide me regarding occlusion handling for tracking as well as in stereovision

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Dima Lisin 2014-11-28

Can you please be a bit more specific?

Himanshu 2014-12-8

Yes,suppose i want to track a occluded car in a road scene how can i do that with 100% detection rate?

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Dima Lisin 2014-12-8

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Hi Himanshu,

First of all, it is very rare in computer vision to see a 100% accuracy rate. Even the best detection or tracking algorithms still make some mistakes.

As far as your situation, more information would help. What algorithm do you use for object detection? What algorithm do you use for tracking? Is your camera stationary? Are there other objects in the scene besides cars?

For example, if your camera is stationary, you can use background subtraction to detect moving objects (e. g. vision.ForegroundDetector). Then you can use vision.KalmanFilter to track those objects using their motion. If the only moving objects in your scene are cars, then you should be able to track a car even if it is partially occluded, and even it is fully occluded for a short time.

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Himanshu 2014-12-12

Ok i am working on this. Now I want to ask to handle object-object or car-car occlusion in a road scene , this is the first step i should start with which is image classification?

Himanshu 2014-12-12

编辑：Himanshu 2014-12-12

Secondly i am using this kind of images in which we have car only e.g simple cars of different companies for training so object classification is necessary

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