Adaptive methods of moving car detection in monocular image sequences

• Autorzy: Kasprzak W.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 2000 (6 ; 15-19.05.2000 ; Polesie, Poland)
• Języki publikacji: EN

Abstrakty

EN

Computer vision applications for traffic scene analysis and autonomous navigation (driver support) require highly sophisticated sensors and computation method- they constitute a real challenge for image analysis systems. Common to bith applications is the moving object detection/tracking task. In this paper we study this task on four different data abstraction levels: image segmentation, 2-D object tracking, model-based 3-D object tracking and many-object traffic scene description. Two meanings of the term "adaptive" are considered: learning algorithm or connectionist systems and recursive estimation for dynamic systems. Generally the firts approach may be appled for low- and segmentation-level analysis of finite image seguences, whereas the second approach for 2-D and 3-D object tracking and estimation.

Słowa kluczowe

EN

model--based analysis; object tracking; obstacle detection; recursive estimation; road following; traffic scene analysis; visual motion estimation

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 1/2
• Strony: 167--185
• Opis fizyczny: Bibliogr. 65 poz.

Twórcy

autor

Kasprzak W.

• Institute of Control and Computation Eng., Warsaw University of Technology ul. Nowowiejska 15/19, 00-665 Warszawa,