Paper
12 May 2010 Shape-and-motion-fused multiple flying target recognition and tracking
Levente Kovács, Ákos Utasi
Author Affiliations +
Abstract
This paper presents an automatic approach for camera/image based detection, recognition and tracking of flying objects (planes, missiles, etc.). The method detects appearing objects, and recognizes re-appearing targets. It uses a feature-based statistical modeling approach (e.g. HMM) for motion-based recognition, and an image feature (e.g. shape) based indexed database of pre-trained object classes, suitable for recognition on known and alerting on unknown objects. The method can be used for detection of flying objects, recognition of the same object category through multiple views/cameras and signal on unusual motions and shape appearances.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Levente Kovács and Ákos Utasi "Shape-and-motion-fused multiple flying target recognition and tracking", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 769605 (12 May 2010); https://doi.org/10.1117/12.850031
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Video

Statistical analysis

Clouds

Motion models

Target recognition

Cameras

Image segmentation

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