Second Prize -- James Charles: Real-time Human Body Parsing (VIDEO)
Caption
"Human body parsing is the process of segmenting an image or video of a person into semantically meaningful parts. The system we designed is capable of automatically parsing multiple people in video and decomposing them into clothing items and body parts.
"Here we show the output from our real-time deep learning based system, when applied to an image of a dancer. Different colors represent different parts; on the left are clothing items and on the right we show body parts.
"When applied to video, tracking of individual people and their parts is accomplished by matching segments together along a temporal sequence. Our algorithm is also quite efficient and able to run in real-time live on a mobile phone. Such systems have many applications e.g. making self-driving cars aware of the motion and behavior of pedestrians."
Credit
James Charles
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Credit: James Charles
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