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The detecting and tracking a specific person by using the image processing with the color camera is often influenced by illumination changes. The proposed robust detecting and tracking method to illumination changes is using the HSV color space and updating the histogram. However, the quantitative evaluating is not enough in the proposed method. In this paper, the robustness to illumination changes...
Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically fail when applied to sequences of images strongly affected by motion blur. In this paper, we propose a new feature detection and tracking scheme that is robust even to non-uniform motion blur. Furthermore, we developed a framework...
This paper presents an illumination adaptive color object recognition method for robot soccer match. Generally, the colors are identified by referring to the pre-defined bounds for the components of each color. However, it is not an easy work to define non-interfered bounds for different colors, and the bounds are sensitive to illumination conditions. Instead, in this work, different colors are discriminated...
The tasks of autonomous rescue robots operating in unknown environments are manifold. Self localization, map generation and the detection of possible victims are indespensable. Apart from these, other factors can become crucial for the survival of the involved persons and for the safe operation of the robot itself. A first step in autonomously detecting such dangers is the real-time recognition of...
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