Jae-Soo Cho

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This paper proposes an effective lane detection and tracking method using statistical modeling of lane color and edge-orientation in the image sequence. At first, we will address some problem of classifying a pixel into two classes(lane or background) and detecting one exact lane. Generally, the probability of a pixel classification error conditioned on the(More)
In this paper, we propose a vision-based robust vehicle detection and inter-vehicle distance estimation algorithm for driving assistance system. It uses the directional edge features, as well as the Haar-like features of car rear-shadows for detection of front vehicles. The use of additional vehicle edge features greatly reduces the false-positive errors.(More)
SUMMARY A real-time adaptive segmentation method based on new distance features is proposed for the binary cen-troid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts clutters with target-like intensity from(More)