Adaptive real-time segmentation in traffic scenes

• Autorzy: Rodrigues T.
• Języki publikacji: EN

Abstrakty

EN

Segmantation is a critical elemeny in any computer vision traffic monitoring system. In this paper a segmentation approach is presented with the aim obtain accurate, compact movement masks suitable for a subsequent tracking stage. Two different segmentation methods using bachground subtraction techniques for day and night operation are presented. The methods are designed for all weather, hard real-time operation in outdoor highway multilane scenes observed by a fixed camera. The kay elements presented are: a convenient non-linear image sub-sampling and rectification technique, an adaptive background model estimation and a dynamic adaptation of segmentation parameters.

Słowa kluczowe

EN

adaptive segmentation; motion and scene analysis; traffic surveillance; real-time; image rectification; background model estimation

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2004
• Tom: Vol. 13, No. 1/2
• Strony: 39--52
• Opis fizyczny: Bibliogr. 17 poz., il., tab., wykr.

Twórcy

autor

Rodrigues T.

• Universidad National de Educacion a Distancia, UNED. ETSI Informatica. Madrit. Spain

Bibliografia

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