all AI news
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit
April 2, 2024, 7:47 p.m. | Pignge Hu, Xiaoteng Zhang, Mengmeng Li, Yingjie Zhu, Li Shi
cs.CV updates on arXiv.org arxiv.org
Abstract: Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various complex aerial scenes, and its Retina-OT-Rt visual circuit is highly sensitive to capturing the motion information of small objects from high altitudes. However, more needs to be done on small object motion detection algorithms based on the avian …
abstract aerial arxiv cs.ai cs.cv detection information inspiration machine machine vision moving nature network neural network object objects perspective processing small systems type vision visual
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote