Nonparametric background modelling and segmentation to detect micro air vehicles using RGB-D sensor
نویسندگان
چکیده
منابع مشابه
Background Segmentation Beyond RGB
To efficiently classify and track video objects in a surveillance application, it is essential to reduce the amount of streaming data. One solution is to segment the video into background, i.e. stationary objects, and foreground, i.e. moving objects, and then discard the background. One such motion segmentation algorithm that has proven reliable is the Stauffer and Grimson algorithm. This paper...
متن کاملTowards Visual Sensor Networks Related Research on Micro Air Vehicles
The increased performance of small scale computing platforms enables the use of a growing number of computer vision algorithms previously limited to desktop computers. This makes visual sensor networks feasible in the close future and could lead to a convergence between distributed sensing and computer vision research fields. This paper provides an introduction to efficient computer vision appr...
متن کاملSegmentation and Analysis of RGB-D data
One particularly interesting aspect of the Kinect sensor is that it makes it relatively easy to acquire color and depth images that are registered to a common viewpoint.This encourages us to pursue the development of algorithms that seek to exploit the advantages of both sensing modalities. Consider the range and image scans shown in Figure 1. The RGB image contains a number of cues that can be...
متن کاملDriver distraction detection and recognition using RGB-D sensor
Driver inattention assessment has become a very active field in intelligent transportation systems. Based on active sensor Kinect and computer vision tools, we have built an efficient module for detecting driver distraction and recognizing the type of distraction. Based on color and depth map data from the Kinect, our system is composed of four sub-modules. We call them eye behavior (detecting ...
متن کاملOrgan Segmentation in Poultry Viscera Using RGB-D
We present a pattern recognition framework for semantic segmentation of visual structures, that is, multi-class labelling at pixel level, and apply it to the task of segmenting organs in the eviscerated viscera from slaughtered poultry in RGB-D images. This is a step towards replacing the current strenuous manual inspection at poultry processing plants. Features are extracted from feature maps ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Micro Air Vehicles
سال: 2019
ISSN: 1756-8293,1756-8307
DOI: 10.1177/1756829318822327