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Recent work in terrain recognition for outdoor mobile robots mainly focused on several typical pure terrain sample classification, and only one terrain feature is extracted for terrain sample description. In this paper, a segmentation scheme for complex terrain samples is designed for the terrain recognition process. The segmentation scheme is achieved using the graph segmentation followed by the...
Human action recognition has attracted much attentions because of its great potential applications. With the rapid development of computer performance and Internet, the methods of human action recognition based on deep learning become mainstream and develop at a breathless pace. This paper will give a novel reasonable taxonomy and a review of deep learning human action recognition methods based on...
Low-cost depth sensing devices, such as Microsoft Kinect, can only produce noisy depth maps that are mis-aligned with color images, and even contain many holes. Even though the coupled high quality color images contain rich information which can be exploited to enhance the depth maps, the redundant color edges often introduce incorrect depth edges in the result depth map, since color images contain...
Color-based recognition method is very simple for programming and has been deeply studied, but most of the previous works are based on computers. This paper studies the issue of target recognition based on monocular vision using the TI's (Texas Instruments) ICETEK-DM642-BR (an evaluation board). The algorithms for target recognition are based on three different color spaces. Images and videos to be...
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