Combining segmentation and tracking for the classification of moving objects in video scenes

Conference · Fri Jan 01 00:00:00 EST 1988

OSTI ID:6588108

Donohoe, G W

This paper describes a method of detecting, tracking and identifying moving objects in video scenes. The method is based on an adaptive change detector which detects and tracks moving objects and extracts silhouettes of the objects from the background so they can be classified by shape. The adaptive change detector uses estimates of image noise and contrast to dynamically adjust decision thresholds. A principal feature of this method is the synergistic interaction between the tracker, the segmenter and the classifier to eliminate uninteresting objects, to improve estimates of the background and noise, to guide threshold selection, and to influence feature selection classification. 9 refs., 4 figs.

• Research Organization: Sandia National Labs., Albuquerque, NM (USA)
• DOE Contract Number: AC04-76DP00789
• OSTI ID: 6588108
• Report Number(s): SAND-88-2140C; CONF-8810202-6; ON: DE89007000
• Resource Relation: Conference: 22. Asilomar conference on signals, systems and computers, Pacific Grove, CA, USA, 30 Oct 1988; Other Information: Portions of this document are illegible in microfiche products
• Country of Publication: United States
• Language: English

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