An active vision system is one that is able to interact with its environment by altering its viewpoint rather than passively observing it, and by operating on sequences of images rather than on a single frame. Moreover, since its foveas can scan over the scene, the range of the visual scene is not restricted to that of the static view. The ability to physically track a target reduces motion blur, increasing target resolution for higher level tasks such as classification. Active Vision is close, in principle, to the biological systems that inspired it and so it seems intuitively acceptable that as a visual sensor (especially augmented with color) it is perfectly suited to human/robot interaction and autonomous robot navigation in human environments.The RSISE/NICTA works towards systems that have vision capabilities similar to that of primates.
Please refer to demo footage (below) for better understanding of the system.
Papers (chronological development)
REF 1 ACRA03.pdf - CeDAR with driver assistance systems REF 2 ICVS03.pdf - CeDAR: agile vision mechanism REF 3 MVA03.pdf - CeDAR: a real world vision system REF 4 ACRA04.pdf - Active rectification: static algorithms on active platforms REF 5 IVS05.pdf - Active spatio-temporal scene awareness REF 6 FSR05.pdf - Active bimodal scene awareness: peripheral and foveal REF 7 CVIU05.pdf - MRF ZDF active hand tracking and segmentation REF 8 EPIROB06.pdf - Real-time bio-inspired active-dynamic coordinated fixation and segmentation *NEW*
Demo Footage - Active Stereo
REALTIME STEREO VISION: ACTIVE-DYNAMIC FIXATION DEMO *NEW*
EPIROB06
CVIU05
FSR05
IV05
RSBSSeminar
SmartDemo2005
rec_promo.pdf
Andrew Dankers - Web Page
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Date Last Modified: Monday, 3rd Oct 2006