Daschkin's profile - activity

Hi Eduardo, thank you for quick response. I woukld like to ask you again, if I correctly understood your answer. With the background segmentation I will determine the regions of interest and then apply the kalman filter and hungarian algorithm? Is the combination KF+HA a part of 3rd party tracking library or I should integrate the code into my project?

Hello Community,

I am new in OpenCV and in tracking topic. I have a lot of experience in computer vision, but in the area of industrial applications. My current task is more a research topic from the neuroscience. The task is to track mice in the cage. The mice are active during the night, so we use IR lightning and we get gray-scaled images.There are normally from 2-5 animals in the cage at the same time. There are several problems in mice tracking:

• • The animals have any remarkable texture.
• The animals are very similar to eachother.
• Mice are very deformable.

• Mice move unpredictable and can suddenly change their moving directions.

• The animals are often occluded, because they interact with eachother, or desappear from the scene, because they are hidden by other animals in the cage.

I have following questions:

• Which algorithm is most suetable for such a tracking task?
• I have only one model definded and want to track all presented obejcts in the video. Is ist possible?

I would very appreciate your help and thank you in advance!

Best regards,

Dorothea

I have the same problem. After rebuilding the opencv_contrib libraries I have still the same problem.