Title :
ASSET-2: real-time motion segmentation and shape tracking
Author :
Smith, S.M. ; Brady, J.M.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
fDate :
8/1/1995 12:00:00 AM
Abstract :
This paper describes a system for detecting and tracking moving objects in a moving world. The feature-based optic flow field is segmented into clusters with affine internal motion which are tracked over time. The system runs in real-time, and is accurate and reliable
Keywords :
image recognition; image segmentation; motion estimation; real-time systems; ASSET-2; affine internal motion; clusters; feature-based optic flow field; image segmentation; real-time motion segmentation; shape tracking; Cameras; Computer vision; Image motion analysis; Image segmentation; Layout; Motion estimation; Motion segmentation; Object detection; Shape; Tracking;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on