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2014-07-15 10:55:57 -0600 | asked a question | skin-based detection for face tracking Hi OpenCV. I already can detect using the cascade classifier but it sometimes detects other things that aren't faces. I want to filter that detected things to a skin-based detection in order to grab only the faces and keep tracking each one of them. I want to do something like this: https://www.youtube.com/watch?v=dQhckpx97ws Thank you!! |
2014-07-11 10:02:52 -0600 | asked a question | Kalman Filter in detected faces Hi OpenCV I already detect faces using the haar cascades. Now I want to predict the faces when are not detected. I know that I should use the kalman filter, but Im new on it. If someone can give an example to do it I'll appreciated. Thank you. |
2014-07-10 09:43:39 -0600 | asked a question | Calculate Motion Hi OpenCV. Can I calculate the velocity or something of motion of a moving object? |
2014-07-08 05:58:35 -0600 | received badge | ● Student (source) |
2014-07-07 12:33:52 -0600 | asked a question | Human skeleton tracking HI OpenCV. Is there a way to track the skeleton of the human body using OpenCV and C++? Thank You!! |
2014-07-07 09:26:18 -0600 | commented question | How can I do blob detection on people? And what is a good way to do it? @StevenPuttemans |
2014-07-07 09:07:21 -0600 | asked a question | How can I do blob detection on people? HI OpenCV. Im trying to do a people fall detection program and I found that blob detection is a great way to do it. The question is, how can i do blob detection on people? Im using c++ and OpenCV. |
2014-07-03 10:43:45 -0600 | asked a question | Human fall detection HI OpenCV. I'm new in the OpenCV but I do a lot of stuff and I get very familiarize with it. I'm on a research using OpenCV 2.4.9 with C++ and a Kinect and I have to detect when a person falls. I know that HOGDescriptor detect people but when is in the floor or he/she flex a little bit it doesn't recognize it like a person, so for this it doesn't work. If someone can give a hand and/or tips I will appreciated. Thank you!!! |