AI News, BOOK REVIEW: “Dog Cam” Trains Computer Vision Software for Robot Dogs

“Dog Cam” Trains Computer Vision Software for Robot Dogs

A dog’s purpose can take on new meaning when humans strapa GoPro camera to her head.

The idea behind DECADE, described as “a dataset of ego-centric videos from a dog’s perspective,” is to directly modelthe behavior of intelligent beings based on how they see and move around withinthe real world.

It also enabled them to predict the appropriate sequence of dog limb and joint movements that get a dog from point A to point B: an early step toward programming a robotic dog to perform the same motions and behaviors.

The idea of modeling the overall behavior of “visually intelligent agents” differs from traditionalcomputer vision research that trains machine learning algorithms—including more specialized deep learning algorithms—on very specific vision tasks such as object detection or body pose estimation.

They even showed that data from a single dog’s behavior can train algorithms to perform more generalizedcomputer vision tasks: a demonstration of using dog behavior to superviserepresentation learning inalgorithms.

The more impressive part of thedemonstration involved training ResNet-18—a deep learning model for image recognition—on both their dog dataset and a standard ImageNet classification dataset in order to accomplish a particular computer vision task.

Thetask, known as “walkable surface estimation,” required the deep learning modelto figure out what parts of any given image representa walkable surface such as a carpet or floor area.

“This can be scaled up to more dogs because the whole setup is adjustable for different sizes and breeds of dogs,” Ehsani said.“There isn't going to be any additional costs for the dog owners as well:They just need to attach the sensors and start playing with their dog, or go for a walk, and the setup will do the data collection automatically.”

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