Title :
Framing through peripheral perception
Author :
Clarkson, Brian ; Pentland, Alex
Abstract :
Context is an essential line of information for systems that rely on real world inputs. However, it is frequently ignored because modeling context by definition requires modeling features outside of the chosen domain. We model context by using peripheral perception, which basically means non-attentional features. This naturally and intuitively defines what it means to model context. We give the results of two experiments in the domain of wearable sensors (camera and microphone)
Keywords :
audio signal processing; hidden Markov models; pattern clustering; video signal processing; audio; context; framing; images; microphone; nonattentional features; peripheral perception; real world input; video camera; wearable sensors; Cameras; Computer peripherals; Computer vision; Context modeling; Face recognition; Hidden Markov models; Microphones; Speech recognition; Wearable computers; Wearable sensors;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899278