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I wonder if this is based on OpenCV or if it's a proprietary system. Looking at the demo it could be using CAMShift with Kalman control? My experience with Ope
by Jack000 12y ago
I wonder if this is based on OpenCV or if it's a proprietary system. Looking at the demo it could be using CAMShift with Kalman control?
My experience with OpenCV is that object tracking depends heavily on hue differences between the tracked object and the background - eg. I start out tracking my face, and wave my hand in front of my face, the tracker then starts to track my hand instead. Have you found a good way to mitigate this issue?
- pj_mukh 12y agoVery good question! a) We've found that OpenCV's boilerplate algorithms have much bigger problems than the ones you have mentioned in deployment scenarios. So, we've had to develop something better from the ground up (while still using the OpenCV infrastructure). b) For the tracker to go back to tracking your face, it would require global re-detection which is usually a much slower process. Moreover, the tracker would have to know what your face looks like under different lighting conditions and angles. This is something we are investing in heavily. Convolutional neural networks have shown a lot of promise!