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Recent development in micro-electronics technologies as well as the computer vision techniques increased demand to use Unmanned Aerial Vehicles (UAVs) in several industrial and civil applications. This paper proposed a vision based system, that is used in UAVs for search, rescue and transportation purposes. The proposed system is divided into two main parts: Vision-based object detection and classification,...
In this paper the authors propose a pedestrian detection system based on discrete features in infrared images. Unique keypoints are searched for in the images around which a descriptor, based on the histogram of the phase congruency orientation, is extracted. These descriptors are matched with defined regions of the body of a pedestrian. In case of a match, it creates a region of interest in the image,...
In this paper a new contrast invariant descriptor for human detection in long-wave infrared images is proposed. It exploits local information histogram of orientations of phase coherence. Contrast in infrared images depends on the temperature of the object and the background, which makes gradient based descriptors less robust, especially in daylight conditions. The objective is to obtain a scale,...
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