{"action":"created","issue":{"url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts/issues/9","repository_url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts","labels_url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts/issues/9/comments","events_url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts/issues/9/events","html_url":"https://github.com/ashafaei/dense-depth-body-parts/issues/9","id":349783427,"node_id":"MDU6SXNzdWUzNDk3ODM0Mjc=","number":9,"title":"Human segmentation on Berkeley MHAD depth data","user":{"login":"amarmhrjn","id":2121552,"node_id":"MDQ6VXNlcjIxMjE1NTI=","avatar_url":"https://avatars0.githubusercontent.com/u/2121552?v=4","gravatar_id":"","url":"https://api.github.com/users/amarmhrjn","html_url":"https://github.com/amarmhrjn","followers_url":"https://api.github.com/users/amarmhrjn/followers","following_url":"https://api.github.com/users/amarmhrjn/following{/other_user}","gists_url":"https://api.github.com/users/amarmhrjn/gists{/gist_id}","starred_url":"https://api.github.com/users/amarmhrjn/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/amarmhrjn/subscriptions","organizations_url":"https://api.github.com/users/amarmhrjn/orgs","repos_url":"https://api.github.com/users/amarmhrjn/repos","events_url":"https://api.github.com/users/amarmhrjn/events{/privacy}","received_events_url":"https://api.github.com/users/amarmhrjn/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-12T04:18:41Z","updated_at":"2018-08-14T01:39:46Z","closed_at":null,"author_association":"NONE","body":"Please let me know which technique you are using for human segmentation on Berkeley MHAD depth data."},"comment":{"url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts/issues/comments/412724311","html_url":"https://github.com/ashafaei/dense-depth-body-parts/issues/9#issuecomment-412724311","issue_url":"https://api.github.com/repos/ashafaei/dense-depth-body-parts/issues/9","id":412724311,"node_id":"MDEyOklzc3VlQ29tbWVudDQxMjcyNDMxMQ==","user":{"login":"ashafaei","id":3754799,"node_id":"MDQ6VXNlcjM3NTQ3OTk=","avatar_url":"https://avatars1.githubusercontent.com/u/3754799?v=4","gravatar_id":"","url":"https://api.github.com/users/ashafaei","html_url":"https://github.com/ashafaei","followers_url":"https://api.github.com/users/ashafaei/followers","following_url":"https://api.github.com/users/ashafaei/following{/other_user}","gists_url":"https://api.github.com/users/ashafaei/gists{/gist_id}","starred_url":"https://api.github.com/users/ashafaei/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ashafaei/subscriptions","organizations_url":"https://api.github.com/users/ashafaei/orgs","repos_url":"https://api.github.com/users/ashafaei/repos","events_url":"https://api.github.com/users/ashafaei/events{/privacy}","received_events_url":"https://api.github.com/users/ashafaei/received_events","type":"User","site_admin":false},"created_at":"2018-08-14T01:39:46Z","updated_at":"2018-08-14T01:39:46Z","author_association":"OWNER","body":"That groundtruth information is not present in the MHAD dataset, but you can generate it from the available groundtruth. I don't remember exactly how I did it, but I remember several heuristics made it possible. For instance, the actors are always, more or less, within the same distance from the camera. You could also use the skeleton information to separate the actor point-cloud from the background. You can then use the corresponding pixels in the depth-image-space as the segmentation that is to be used for the pipeline. You can quickly do it in one evening. Note that in our pipeline we assume the segmentation is already taken care of."}}
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