Posture Detection in Live Video Streaming
$1500-3000 USD
Kulipwa wakati wa kujifungua
Technical Tasks for Development of Movement Analytics:
1) Implementing/rewrite the code in the following paper for both desktop and mobile version (both iOS and Android)
Real-time Multi-Person 2D Pose Estimation using Part Affinity Fields by Zhe Cao et al. from Computer Science Department of Carnegie Mellon University
a. The original code is available here:
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b. The input to the module is a real-time video stream with human presented in the scene
c. The output format should be as follow:
i. Automatically annotated video (in real time) with the body pose (for visualization)
ii. Relative location of all 17 body parts in image plane. We call this a “joint constellation feature” which is changing in time. This output is a vector of 1X34 such that: s=[x1, y1, ,,,, x17,y17]. (remember x, and y are in the image plane)
iii. Each x,y pair in the vector s should correspond to a particular joint! Doing so we can preserve the pose for further analysis.
Kitambulisho cha Mradi: #15069607
Kuhusu mradi
38 wafanyakazi huru wanazabuni wastani wa $2712 kwa kazi hii
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The algorithm basically predicts a confidence map and the affinity fields. Then it tries to find the key points and body parts then it tries to link the body parts making a joint constellation. Relevant Skills and Exp Zaidi
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