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2016-04-11 06:20:00 -0600 | asked a question | Passing "hints" to Object Tracking algorithm? Is it possible to pass "hints" to any of the object tracking algorithms to improve performance? Having a robot with onboard object tracking, I know my robot is about to turn left so I wonder if I can tell the "object tracker" that it should expect the tracked object to appear at position x/y in the next video frame? And if this could improve any processing speed? (I'm running on a low powered Raspberry Pi so trying to squeeze as much out of it as possible.) Examples of movement are:
Any thoughts? Thanks! |
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2016-04-06 23:05:02 -0600 | commented answer | How do you use OpenCV TLD from Python? Hey @ILA did you manage to find any Python wrappers? |
2016-04-06 23:05:01 -0600 | asked a question | List of all available object tracking algorithms? Hello, I have just implemented Python/OpenCV2/CMT on a Raspberry Pi with pretty good results for my first OpenCV project ( https://www.youtube.com/watch?v=hvzoh... ) Is there an opencv-newbie-friendly list of all available tracking algorithms ( both built in and 3rd party ) with some examples/description of each implementation? ( or is it more a case of there are a few popular available tracking options that can be combined together in an unlimited number of ways to get better results? ) I'm keen to create some test footage from the RaspberryPi camera and pass them through a number of available tracking algorithms to see which one performs best in various scenarios. I'll be mainly tracking a the back of a walking person (indoor / outdoor) and a bike rider outdoor. Thank you for any pointers in the right direction! Cheers, Dave |