Street Cat Photo Booth

Machine Learning,Disembodied Practice,& Curious Cats

Leigh M. Smith, leighsmith.com, LANDR Jordan Matthew Yerman, The Street Cat Project

+ = ?

Automation:● Raspberry Pi 2 + Camera +

IR.● IR Sensor controls image

capture.● 5 sec. sample interval.● Images are queued for eval.● Accepted images uploaded

to Instagram.● Web server displays progress

and sets # tags.● TODO: Robust Geotagging.

● Uses a sliding window over the captured image.● Histogram of Oriented Gradients (HOG) forms the

low-level features.● Gradients fed into a Support Vector Machine (SVM)

machine learning algorithm.● Binary classify combinations of gradients →

detector.● Identifies the number of faces in each image.● Must be trained on a dataset of images that have

cat faces at similar image distance to the booth.● Trained 272, tested 1407 images, recall = 0.504.

Cat Face Recognition:

“Why must I feel like that? Why must I map the cat? Nothin’ but the HOG in me!”(apologies to George Clinton)

Street Cat Photo Booth:#CatWalks

ISEA 2016 香港 #CatWalk:19th May, 9am

Alleyway Entrance:Nanking St at Reclamation St(MTR: Jordan)

Map: search Twitter, Facebook for #ISEA2016 #CatWalk

Tokyo 東京 2016 #CatWalk:Higashi-Ikebukuro Central Park (Metro: Higashi-Ikebukuro)May 26, early afternoon TBD

Instagram: @streetcatphotoboothFacebook: The Street Cat Project

LeighSmith.comJordanMatthewYerman.com

#ISEA2016 # 猫