how to solve occlusion problem in multiple object?

edit

Kalman Filter?

these few links might help you out:

http://stackoverflow.com/questions/2764238/image-processing-what-are-occlusions

http://vip.uwaterloo.ca/publications/vehicle-tracking-occlusion-and-clutter

http://web.engr.illinois.edu/~dhoiem/publications/iccv07hoiem.pdf

thanx Abhishek Kumar Annamraju. I got knowledge from this . Can you tell me how to use kalman filter in occlusion i found some reference code but don't know how to use it. how to relate kalman filter to occlusion.

@thdrksdfthmn Yeah Kalman filter. Which is actually use for occlusion.

But don't know how to use it.

and how to include on my own code

I think you should start with this for better understanding, then this for having an idea of code. The idea is to always enforce the prediction with a detection (and search for the object in a smaller area, around the prediction); if there is no detection for a few frames than you should loose the tracking (but this is when testing and tuning the filter)

@thdrksdfthmn thanx I will try and Let you know if I will Find Any Problem. Meanwhile Can you tell me how to train features of any object. And practical example for it.

Than in Advance. :)

I do not know what "to train features" means, but I know that features can be found using FeatureDetector. You shall also see the DescriptorExtractor that may be used for training.

@thdrksdfthmn Thanx for the reply. Train feature means...train own algorithm like left eye , right eye and all other face feature have own xml file. so i want specific shape base feature for that I have to train them and make xml file so that I can include directly in to my code . So do you know exact procedure to train feature.

yes, it is traincascade in opencv. These are the docs, here is a related question, so good luck!

@coco and @thdrksdfthmn Make sure you fetch all the other possibilities you have other than traincascade, try going up for advanced feature extractors like Weber Descriptors,SIFT, etc. Traincascade is a very tedious process and unless combined with parallel computing it is a very long job, even the results are uncertain as you need to play with the training parameters a lot. Look for SVM training also if you have to go up for machine learning. Anyway here's a tutorial from my blog for traincascade : http://abhishek4273.com/2014/03/16/traincascade-and-car-detection-using-opencv/

I know, that is what I have done a lot of time for a better face detector, and it was exhausting and not a very big improvement (except the speed; I have trained a LBP). @coco You can try to search for another type of detector, like adaptive threshold or segmentation, morphology, colours, saturation, or I do not know what. And then a classifier for validating the detection.

@AbhishekKumarAnnamraju: Have you trained 2 detectors, or it is the same for lateral and behind?

@thdrksdfthmn I have trained many xml files for the same object/dataset using variations in parameters and then tried to use the best ones to detect the cars in most efficient way.

@Abhishek Kumar Annamraju@thdrksdfthmn thank you for reply. I am trying all methods. It will take some time. Letter i will inform you about it. Thanks again

@thdrksdfthmn@Abhishek Kumar Annamraju Hey,guys I work on all link but i couldn't find proper one . Actually, I work on multiple people tracking and successful tracking individual person using background subtraction. when two people intersect it track as one rectangle so i want to apply occlusion based algorithm to solve this error. can you give me some sample code which use kalmaan and occlusion combined for multiple object tracking. please reply as fast as possible. Thank you in advance

@thdrksdfthmn@Abhishek Kumar Annamraju Hey,guys I work on all link but i couldn't find proper one . Actually, I work on multiple people tracking and successful tracking individual person using background subtraction. when two people intersect it track as one rectangle so i want to apply occlusion based algorithm to solve this error. can you give me some sample code which use kalmaan and occlusion combined for multiple object tracking. please reply as fast as possible. Thank you in advance

@thdrksdfthmn@Abhishek Kumar Annamraju Hey,guys I work on all link but i couldn't find proper one . Actually, I work on multiple people tracking and successful tracking individual person using background subtraction. when two people intersect it track as one rectangle so i want to apply occlusion based algorithm to solve this error. can you give me some sample code which use kalmaan and occlusion combined for multiple object tracking. please reply as fast as possible. Thank you in advance

@coco if I find something in this I will revert back