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This paper focuses on the task of room layout estimation from a monocular RGB image. Prior works break the problem into two sub-tasks: semantic segmentation of floor, walls, ceiling to produce layout hypotheses, followed by an iterative optimization step to rank these hypotheses. In contrast, we adopt a more direct formulation of this problem as one of estimating an ordered set of room layout keypoints...
Rice Planthopper (RPH) infestation in paddy field is a serious disaster in Asia every year. Finding RPHs based on image processing is an important thing before RPHs growth. We propose a region of interest (ROI) method to detect RPHs clearly. First, get rectangle ROI in HSV space and do color analysis. By using decision tree algorithm, classify analytic data to get binary image of RPHs. The results...
This paper presents a new SLAM (simultaneous localization and mapping) method using genetic algorithm (GA) for mobile robots. A laser range finder (LRF) is installed on a mobile robot for collecting point-distance information about the surroundings. From the LRF points, several important ones are extracted for describing the main features of the surroundings. A new form of chromosomes for representing...
3-D vision technologies are extensively used in a wide variety of applications. Particularly glasses-based 3-D technology facilities are increasingly becoming affordable to our daily lives. Considering health issues raised by 3-D video technologies, to the best of our knowledge, most of the pilot studies are practiced in a highly-controlled laboratory environment only. In this paper, we present NeuroGlasses,...
Smoke detection in video surveillance images has been studied for years. However, given an image in open or large spaces with typical smoke and the disturbance of commonly moving objects such as pedestrians or vehicles, robust and efficient smoke detection is still a challenging problem. In this paper, we present a novel and reliable framework for automatic smoke detection. It exploits three features:...
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