video Recognition for Posture machine learning from database of 2d pictures

Task/Problem Description:

Given an image of a person from a video, (2) the detected 3D coordinates of this person’s nodes point at a certain frame (please leave the frame id as a parameter such that we can play with it during the evaluation), and (3) the position of the camera (This is included in "3d->2d convert program" as a parameter in the config file.), you are asked to extract the edges (i.e., contours) of person in the 3D image video and compare with 2D images for machine learning to give output. Novel and effective approaches are welcome!

In this challenge, we provide images and coordinates for several frames in photos. The extracted information in the video frames recorded (e.g., clothes of color and appearance of the background) can be utilized to help the edge detection in the database photo frames.

Using [login to view URL]

Must be novel and not copied algorithm from papers or net.


Tags: Algorithm, Machine Learning
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video Recognition for Posture machine learning from database of 2d pictures

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