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Due to the low weight of monocular camera, monocular Simultaneous Localization and Mapping (SLAM) is an area of popular research and promotes countless applications of micro Unmanned Aerial Vehicles (UAVs), especially in some GPS-denied indoor environments. Nevertheless, the motion of UAVs is often faster and more complex than that of ground-based robots. It would also lead to error accumulation if...
Many indoor navigation robots use structured light vision measurement systems (SLVMS) for mapping, localization, and obstacle avoidances. In these systems, the extraction of light stripe skeleton directly affects the accuracy of the final measurements. One of the problems in SLVMS is that when the light is projected to some rough surface it will cause strong diffuse reflection. Thus the light stripe...
As an important branch of computational photography, light field photography combines the hardware design of optical system with key algorithm of signal processing quite well. Unlike traditional photography which can only record light ray's two-dimensional position, light field photography system can record four-dimensional position and direction. Therefore, much more image information can be obtained...
Learning the scene correlation of uncalibrated static cameras is in increasing demand for intelligent surveillance system, such as making a inference of topology, or allocating computation resources for video retrieval in multirobot system. However, many existing approaches learn the scene correlation among camera views by camera calibration or tracking targets across cameras. They seldom learn the...
It is a significant problem to learn the scene correlation of uncalibrated static cameras, which can be applied for intelligent surveillance systems with a large scale camera network. Some existing approaches learn the scene correlation among camera views by tracking targets across cameras. They seldom analyze the scene correlation among cameras with appearance modeling for moving targets. In this...
Obtaining reliable and discriminative target representation are two vital tasks for data association in multi-tracking. Pervious works always directly combine bunch of features for more discriminative target representation, but this is prone to error accumulation and unnecessary computational cost, which on the contrary may increase identity switches in data association. Moreover, reliability of a...
In this paper, we propose a novel motion detection method for moving human detection based only on range sensor. Different from the state-of-art frameworks on human detection field, our innovation is taking advantages of range data in motion detection and introducing a effective motion capture approach. In preliminary segmentation term the concept of Positive Motion is presented which can obtain points...
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