Objective
In the field of computer vision CV, visual tracking is one of the important sub-problems. From my point of view, visual tracking is used on robots, on mobile devices, so why not put some tracking algorithms on the iphone to see the actual tracking effect. This is the most realistic comparison, the use of some video is not practical, and the key is not very good comparison of real-time. For mobile devices, real-time is the most important thing. The reason for the emergence of tracking problems is also because the vast majority of object detection object detection algorithm is too slow, simply can not be used in the video. So there is the problem of object tracking. The ultimate goal is the real time Visual object Tracking. Now the hot four-axis UAV research hotspot is not automatic tracking objects. But it all depends on the level of the tracking algorithm. The difficulty is really big.
Here I use the iphone to do the testing. iphone performance is also good on mobile devices. So look at his algorithm effect is good, the key is convenient, want to track what things directly on the phone screen draw a box on the OK.
Second, now the tracking problem becomes the initial frame on the video, and then asks the box to follow the object in the initial frame. In fact, this simplified description of the problem is problematic, but does not hinder the study of the CV industry in full swing.
The tracking algorithm used
Put the code directly:
Https://github.com/songrotek/Tracking-on-iOS
It contains the Cmt,tld,color tracking,ct,camshift,struck tracking algorithm. Specific algorithms I have no way to elaborate here, specific details I am also in the study, but it is the C + + source code into the implementation of Xcode.
This is still a lot of energy, sharing out hope to also study CV of children's shoes help!
The following is the CMT algorithm effect, in fact, quite praise! Real-time sex is very good!
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Computer vision test Tracking algorithm on iOS visual Object Tracking algorithm