JOURNAL ARTICLE
ASSET-2: real-time motion segmentation and shape tracking
Stephen M. SmithJ. Michael Brady
Year: 1995 Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence Vol: 17 (8)Pages: 814-820 Publisher: IEEE Computer Society
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:
Artificial intelligence Computer vision Optical flow Computer science Tracking (education) Feature (linguistics) Segmentation Motion (physics) Affine transformation Feature extraction Match moving Field (mathematics) Feature tracking Pattern recognition (psychology) Mathematics Image (mathematics)
Metrics
267
Cited By
21.04
FWCI (Field Weighted Citation Impact)
19
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Robotics and Sensor-Based Localization
Physical Sciences → Engineering → Aerospace Engineering
Advanced Vision and Imaging
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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