Machine Vision Group

 

The machine vision group is led by Prof. Bob Fisher that researches the transformation of raw signals into a symbolic representation, whether through initial investigation, an intermediate stage or (mainly) a final interpretation of the signal data into human concepts. Currently, the machine vision group is investigating the issue of inobtrusive and anonymous visual monitoring of ageing adults in their own homes. The monitoring is both short term (to detect critical events), and long-term (to detect behavioural changes due to health deterioration). The research considers technological capabilities and user acceptable design.

Items in this Collection

  • WeightGait Dataset 

    Lochhead, Christopher; Fisher, Robert
    Introduction: Here we introduce the WeightGait dataset: a dataset developed for the purposes of facilitating vision-based gait assessment methodologies with more realistic conditions comparable to real world use. The ...

  • Human MotionLess Dataset (HuMoLs) 

    Chen, Longfei; Raza, Muhammad Ahmed; Fisher, Robert B
    The HuMoLs dataset consists of 101 videos capturing a single human subject in a motionless state. The dataset can used for motion detection in healthcare monitoring settings, or other experiments. The dataset is designed ...

  • EatSense: Human Centric, Action Recognition and Localization Dataset for Understanding Eating Behaviors and Quality of Motion Assessment 

    Raza, Muhammad Ahmed; Fisher, Robert B
    We introduce a new benchmark dataset named EatSense that targets both computer vision and the healthcare community. EatSense is recorded while a person eats in a dining room uncontrolled setting. Key features are: First, ...