{"action":"opened","issue":{"url":"https://api.github.com/repos/gw-sd-2016/drones-cvb/issues/2","labels_url":"https://api.github.com/repos/gw-sd-2016/drones-cvb/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/gw-sd-2016/drones-cvb/issues/2/comments","events_url":"https://api.github.com/repos/gw-sd-2016/drones-cvb/issues/2/events","html_url":"https://github.com/gw-sd-2016/drones-cvb/issues/2","id":119605781,"number":2,"title":"Week 13: Attempting longer distance recognition and consistency","user":{"login":"cvonbraun421","id":8643025,"avatar_url":"https://avatars.githubusercontent.com/u/8643025?v=3","gravatar_id":"","url":"https://api.github.com/users/cvonbraun421","html_url":"https://github.com/cvonbraun421","followers_url":"https://api.github.com/users/cvonbraun421/followers","following_url":"https://api.github.com/users/cvonbraun421/following{/other_user}","gists_url":"https://api.github.com/users/cvonbraun421/gists{/gist_id}","starred_url":"https://api.github.com/users/cvonbraun421/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cvonbraun421/subscriptions","organizations_url":"https://api.github.com/users/cvonbraun421/orgs","repos_url":"https://api.github.com/users/cvonbraun421/repos","events_url":"https://api.github.com/users/cvonbraun421/events{/privacy}","received_events_url":"https://api.github.com/users/cvonbraun421/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/gw-sd-2016/drones-cvb/labels/Git%20Check","name":"Git Check","color":"0052cc"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-11-30T23:29:29Z","updated_at":"2015-11-30T23:29:29Z","closed_at":null,"body":"@cctoombs @twood02 This week was about trying to get the drone recognized at a greater distance and with higher consistency. All of this was done with different background and angles of the source images I used. So I played around with changing the angle of the still photo that I feed into the program and experimented with photoshopping out the background. From my 30% demo, I used a piece of cardboard with a written pattern on it. That was previously what SURF was detecting. Obviously this isn't ideal, and I want it to detect the drone itself, so I don't have to hang something stupid like I did for the demo. This is proving extremely difficult. I'm going to get some help from Prof. Simha on Tuesday on this. I wasn't able to get any improvement by changing around the photo. It might be due to the fact that SURF is looking at the rectangular image, and obviously a drone isn't rectangular, so it doesn't match. I hate to use a pattern, but that might be my only option right now, short of scrapping my detection method entirely."}}