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15 de jul. de 2019 · The iWildCam 2019 Challenge Dataset. Sara Beery, Dan Morris, Pietro Perona. Camera Traps (or Wild Cams) enable the automatic collection of large quantities of image data. Biologists all over the world use camera traps to monitor biodiversity and population density of animal species. The computer vision community has been making strides towards ...
In collaboration with Professors Anderson and Dickinson, professor Perona is building vision systems and statistical techniques for measuring actions and activities in fruit flies and mice. This enables geneticists and neuroethologists to investigate the relationship between genes, brains and behavior.
Welcome to the Perona Lab. We are interested in the computational foundations of vision. This knowledge helps us design machine vision systems with applications to science, conservation, consumer products, entertainment, manufacturing, and defense. We also study the human visual system using psychophysical experiments and build models of its ...
Pietro Perona received a Ph.D. in electrical engineering and computer science from the University of California, Berkeley, in 1990. In 1990, he was postdoctoral fellow at the International Computer Science Institute at Berkeley. From 1990 to 1991, he was a postdoctoral fellow at the Massachusetts Institute of Technology in the Laboratory for ...
Pietro Perona. Department of Electrical Engineering , California Institute of Technology, Pasadena, August 2014 IEEE Transactions on Pattern Analysis and Machine ...
Professor Perona's research focusses on vision: how do we see and how can we build machines that see. He has been mostly active in the area of visual recognition, more specifically visual categorization.
29 de set. de 2010 · Caltech-UCSD Birds 200 (CUB-200) is a challenging image dataset annotated with 200 bird species to enable the study of subordinate categorization, which is not possible with other popular datasets that focus on basic level categories. Caltech-UCSD Birds 200 (CUB-200) is a challenging image dataset annotated with 200 bird species. It was created to enable the study of subordinate categorization ...
