Finding people in video based on height, cloth color, gender | Computer Sciences - Tech Xplore

A special search approach lets you find people in surveillance video just based on their description. The RT headline read, "AI algorithm can find you in CCTV footage without using face recognition." But how? Height, gender, clothing, not facial features, are the giveaways, via an artificial intelligence algorithm, as Tech Xplore reports.

Proposed approach of person retrieval using height, cloth color and gender. 
Photo: arXiv:1810.05

The work reflects the potential of deep learning techniques. RT makes a useful point for those who may still blur the concept of deep learning with machine learning.
R
T wrote that in the researchers' efforts, deep learning traveled "beyond machine learning (where patterns are set into algorithms and require supervision) by incorporating 'self-learning'- to train a convolutional neural network (CNN) to recognize soft biometrics using computer vision."
RT and other sites reported on the team of researchers who created the tool that finds people in CCTV footage...

The authors in the abstract said that the color and gender models were fine-tuned using AlexNet. The latter is a convolutional neural network (CNN) that gets its name from its designer, Alex Krizhevsky. The AlexNet is trained on more than 1 million images from the ImageNet database, said MathWorks.
"The network is 8 layers deep and can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. As a result, the network has learned rich feature representations for a wide range of images."
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Additional resources 
Person Retrieval in Surveillance Video using Height, Color and Gender, 
arXiv:1810.05080 [cs.CV] arxiv.org/abs/1810.05080 

Source: Tech Xplore