This work presents a cooperative approach for detecting and tracking pedestrians in an urban environment. Its originality lies in the cooperation of two vision systems. A monocular vision system retrieves feature elements and these elements are visualized. However, false detection can occur due to objects whose outline is similar to that of a pedestrian. This problem is solved by the introduction of an auto-adaptive stereovision algorithm that recovers all the vertical 3D segments of the scene. This cooperation supplies a fast and robust method for detecting pedestrian presence. Then, it allows for pedestrian tracking through multiple images.
Cooperation of passive vision systems in detection and tracking of pedestrians
2004-01-01
782206 byte
Conference paper
Electronic Resource
English
TPP1.06 Cooperation of Passive Vision Systems in Detection and Tracking of Pedestrians
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