Which method of segmentation fits better to this overlap problem?
up vote
1
down vote
favorite
I am currently working on the monitoring of cows with the help of a thermal video, for this I first do a segmentation based on distance transformation (it is the best I have found).
Later for the follow-up I am using a combination of local descriptors and kalman filters.
Additionally the video is very low resolution 160x120 from a flir camera.
But with all these tools it is difficult for me to solve overlap situations. That is why I ask if anyone knows any better segmentation than the one I am currently using, or some method to better follow my objects of interest.
(photos attached)
Original Image:
Segmentation Image:
Original Image 2:
Segmentation Image2:
Tracked Objects:
opencv image-processing image-segmentation video-tracking flir
add a comment |
up vote
1
down vote
favorite
I am currently working on the monitoring of cows with the help of a thermal video, for this I first do a segmentation based on distance transformation (it is the best I have found).
Later for the follow-up I am using a combination of local descriptors and kalman filters.
Additionally the video is very low resolution 160x120 from a flir camera.
But with all these tools it is difficult for me to solve overlap situations. That is why I ask if anyone knows any better segmentation than the one I am currently using, or some method to better follow my objects of interest.
(photos attached)
Original Image:
Segmentation Image:
Original Image 2:
Segmentation Image2:
Tracked Objects:
opencv image-processing image-segmentation video-tracking flir
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I am currently working on the monitoring of cows with the help of a thermal video, for this I first do a segmentation based on distance transformation (it is the best I have found).
Later for the follow-up I am using a combination of local descriptors and kalman filters.
Additionally the video is very low resolution 160x120 from a flir camera.
But with all these tools it is difficult for me to solve overlap situations. That is why I ask if anyone knows any better segmentation than the one I am currently using, or some method to better follow my objects of interest.
(photos attached)
Original Image:
Segmentation Image:
Original Image 2:
Segmentation Image2:
Tracked Objects:
opencv image-processing image-segmentation video-tracking flir
I am currently working on the monitoring of cows with the help of a thermal video, for this I first do a segmentation based on distance transformation (it is the best I have found).
Later for the follow-up I am using a combination of local descriptors and kalman filters.
Additionally the video is very low resolution 160x120 from a flir camera.
But with all these tools it is difficult for me to solve overlap situations. That is why I ask if anyone knows any better segmentation than the one I am currently using, or some method to better follow my objects of interest.
(photos attached)
Original Image:
Segmentation Image:
Original Image 2:
Segmentation Image2:
Tracked Objects:
opencv image-processing image-segmentation video-tracking flir
opencv image-processing image-segmentation video-tracking flir
edited Nov 11 at 8:25
Shai
68.4k22133238
68.4k22133238
asked Nov 8 at 22:08
Daniel Andres
61
61
add a comment |
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53216880%2fwhich-method-of-segmentation-fits-better-to-this-overlap-problem%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown