Camera software learns to pick you out of a crowd
posted Apr 21st 2011 10:53am by Mike Nathanfiled under: digital cameras hacks, video hacks
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While the Kinect is great at tracking gross body movements and discerning what part of a person’s skeleton is moving in front of the camera, the device most definitely has its shortfalls. For instance, facial recognition is quite limited, and we’re guessing that it couldn’t easily track an individual’s eye throughout the room.
No, for tracking like that, you would need something far more robust. Under the guidance of [Krystian Mikolajczyk and Jiri Matas], PhD student [Zdenek Kalal] has been working on a piece of software called TLD, which has some pretty amazing capabilities. The software uses almost any computer-connected camera to simultaneously Track an object, Learn its appearance, and Detect the object whenever it appears in the video stream. The software is so effective as you can see in the video below, that it has been dubbed “Predator”.
Once he has chosen an object within the camera’s field of vision, the software monitors that object, learning more and more about how it looks under different conditions. The software’s learning abilities allow it to pick out individual facial features, follow moving objects in video, and can recognize an individual’s face amid a collection of others.
While the software can currently only track one object at a time, we imagine that with some additional development and computing horsepower, this technology will become even more amazing.






imagine how this could help in the tracking of suspected terrorists. with it tied into networked cameras in airports world wide. wonder if it can learn from scanned photos of the same subject?